Analysis of Data From a Batch Reactor

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    Analysis Of Data From A Batch Reactor

    1

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    Objective

    Data analysis from indirect measurements

    Essens method (learned in p-chem)

    Does not usually work

    Vant Hoffs method

    Accurate but amplifies errors in data

    2

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    Background: Kinetic Data AfterMeasuring

    Indirect method a method where you measuresome other property (i.e. concentration vs time)

    and infer a rate equation. 3

    0 5 10 15 20 25 30 35

    10

    100

    Time, Hours

    Pressu

    re,x2,

    torr

    Figure 3.8 Typical batch datafor reaction (3.7). Data of

    Tamaru[1955].

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    Objective For Today:Analysis Of Rate Data

    Derive basic equations

    Essens method

    Vant Hoffs method

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    Derivation Of PerformanceEquation For A Batch Reactor

    5

    For AB, the moles of Areacted/volume/time will equal the reactionrate, i.e.

    A

    A

    dC =rd

    (1)

    CA is the concentration of A, is time,and rA is the rate of reaction per unitvolume. Figure 3.11 A batch reactor

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    Integration Yields TheFollowing

    6

    (3.31)

    Memorize this equation

    0A

    fA

    C

    A

    AC

    dC=

    (-r )

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    For A First Order Reaction

    rA

    = -k1

    CA

    (3.38)

    Substituting equation (3.38) into equation

    (3.31) and integrating yields:

    7

    f

    A

    0

    A

    1 C

    CLn

    k

    1 Memorize this equation(3.39)

    Derivation

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    For An nth Order Reaction:

    nAnA Ckr

    9

    (3.41)

    Substituting equation (3.41) into equation (3.31),

    integrating, and rearranging yields:

    1C

    C

    Ck1n

    11-n

    fA

    oA

    1no

    An

    (3.42)

    Memorize this equation

    Derivation

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    Plots Of Equations

    0% 20% 40% 60% 80% 100%

    conversion

    0

    2

    4

    6

    8

    1 0

    Time

    First Order

    Second

    Order

    11

    bl 3

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    Table 3.4 Rate Laws For ANumber Of Reactions

    12

    Rate Laws for a number of reactions

    Reaction Rate Law Differential Equation Integral Equation

    A Products

    A+B Products

    rA=kA

    A ProductsA+B Products

    rA=kA[A]

    A Products

    A+B Products

    rA=kA[A]n

    A+B Products rA

    =kA

    [A][B]

    A+2B Products rA=kA[A][B]

    A B rA=k1[A]-k2[B]

    AA k

    d

    dX

    AAA Xk

    ddX

    nA

    1nnAA

    A X)C(kd

    dX

    )XCC)(X1(kd

    dXA

    0A

    0BAAAA

    )XC2C)(X1(kd

    dXAA

    0BAA

    A

    A2AAA Xk)X1(k

    d

    dX

    AA

    Xk

    AA

    X11Ln1k

    1

    X1

    1

    )C)(1n(

    1k

    1n

    A1n0

    A

    A

    0AA0B

    A

    0

    B0B

    0A

    ACXC

    )X1(CLn

    CC(

    1k

    0AA

    0B

    A0B

    0B

    0A

    ACX2C

    )X1(CLn

    CC2(

    1k

    Ae21

    XX

    1Ln

    1)kk(

    Fi i B h D T A R

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    Fitting Batch Data To A RateLaw

    Steps

    Start with a batch reactor and measureconcentrations vs time.

    Fit those data to a first order and a

    second order rate law and see whichequation fits better.

    Whichever rate equation fits best is

    assumed to be the correct rate equationfor the reaction.

    13

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    Key Challenge: First And Second OrderData Does Not Look That Much Different

    14

    0 0 . 5 1 1 .

    0

    0 . 2

    0 . 4

    0 . 6

    0 . 8

    1

    Time

    C

    /C

    0

    A

    A

    HalfOrder

    FirstOrder

    Second Orde

    ThirdOrder

    0 0 . 5 1 1 .

    0

    0 . 2

    0 . 4

    0 . 6

    0 . 8

    1

    Time

    C

    /C0

    A

    A

    HalfO

    rder

    FirstOrder

    SecondOrder

    ThirdO

    rder

    Samek(CA

    0)n-1

    Vary k to fitdata

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    Essens Method

    15

    f

    A

    0

    A

    1 C

    CLn

    k

    1

    1C

    C

    Ck1n

    1 1-n

    fA

    oA

    1noAn

    First order

    nth order

    (3.42)

    (3.39)

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    Essens Method

    16

    (C

    /C)

    -1

    0A

    A

    ln(C

    /C

    )

    0A

    A

    0 0 . 5 1 1 .

    0

    0 . 2

    0 . 4

    0 . 6

    0 . 8

    1

    Time

    Ha

    lfO

    rder

    Fir

    stO

    rder

    Second

    Order

    Third

    Order

    0 0 . 5 1 1 .

    0

    0 . 2

    0 . 4

    0 . 6

    0 . 8

    1

    Time

    Half

    Ord

    er

    Fir

    stOrder

    Second

    Order

    Third

    Order

    Figure 3.15

    E l Th C t ti Of

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    Example: The Concentration OfDye As A Function Of Time

    17

    CA,mmoles

    /Lit

    , Min CA CA

    1 0 0.63 6 0.45 120.91 1 0.59 7 0.43 13

    0.83 2 0.56 8 0.42 14

    0.77 3 0.53 9 0.40 150.71 4 0.50 10 0.38 16

    0.67 5 0.48 11 0.37 17

    Table 3.5

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    Essen Plot For Example:

    18

    0 5 10 15

    0

    0.5

    1

    1.5

    Time, Mins0 5 10 15

    0

    1

    2

    3

    4

    5

    6

    Time, Mins0 5 10 15

    0

    0.2

    0.4

    0.6

    0.8

    1

    Time, Mins

    ln(C/

    C

    )

    0A

    A

    (C

    /C

    )

    -1

    2

    A

    A

    (C

    /C)

    -1

    0A

    A

    0

    r2=.984 r2=.999r2=.981

    No statistically significant difference between results.

    Figure 3.16

    E l Sh E M th d

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    Example Shows Essens Method

    Does Not Distinguish Between Models

    In the literature, Essens method is often used.

    Useful for impressing your boss since it alwaysfits with good r2 (given good data)

    It often gives the incorrect answers.

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    Vant Hoffs Method

    Take batch data as before.

    Calculate kone (first order rate constant)ktwo (second order rate).

    kone should be constant for a first orderreaction, ktwo should be constant for asecond order reaction. (Use f test tocheck).

    20

    Equations For kone And

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    Equations For kone Andktwo Follow From Before

    21

    A

    0

    A

    1 C

    CLn

    k

    1

    A

    0

    A1

    C

    CLn

    1k

    (3.39) (3.51)

    1C

    C

    C)1n(

    1k

    1n

    A

    0A

    1n0A

    n

    (3.52)

    1C

    C

    Ck1n

    1 1-n

    fA

    oA

    1noAn

    (3.42)

    Solve for k1

    Solve for kn

    Derived previously

    Derived previously

    Easy Solution: Define A VB

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    Easy Solution: Define A VBModule In Microsoft Excel

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    Public Function kone(ca0, ca, tau) As Variant

    kone = Log(ca0 / ca) / tau

    End Function

    Public Function ktwo(ca0, ca, tau) As Variant

    ktwo = ((1# / ca) - (1# / ca0)) / tau

    End Function

    Public Function kthree(ca0, ca, tau) As Variant

    kthree = ((1# / ca) ^ 2 - (1# / ca0) ^ 2) / tau

    End Function

    Microsoft Excel/Visual Basic

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    Microsoft Excel/Visual BasicReturn Types

    23

    As Variant General return type (can be aninteger, real, vector, matrix,logical or text)

    As Single Single precision real

    As Double Double precision real

    As Integer Integer

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    Spreadsheet For Vant Hoffs

    Method

    24

    B C D E F1 Ca0= 1

    2 Essen's

    Method

    3 time conc first second third4 ln(Ca0/Ca) (Ca0/Ca)-1 (CA0/CA)^

    2-1

    5 0 1=kone(ca0,C5,B5) =ktwo(ca0,C5,B5) =kthree(ca0,C5,B5)

    6 1 0.91 =kone(ca0,C6,B6) =ktwo(ca0,C6,B6) =kthree(ca0,C6,B6)

    7 2 0.83=kone(ca0,C7,B7) =ktwo(ca0,C7,B7) =kthree(ca0,C7,B7)

    8 3 0.77=kone(ca0,C8,B8) =ktwo(ca0,C8,B8) =kthree(ca0,C8,B8)

    9 4 0.71=kone(ca0,C9,B9) =ktwo(ca0,C9,B9) =kthree(ca0,C9,B9)

    T e Numer ca Va ues For

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    T e Numer ca Va ues ForVant Hoffs Method

    25

    B C D E F3 Time conc k1 k2 k3

    4 0 1 ln(1/Ca)/t ((Ca0/Ca)-1)/t ((CA0/CA)^2-1)/t/2

    5 1 0.91 0.094 0.099 0.104

    6 2 0.83 0.093 0.102 0.113

    7 3 0.77 0.087 0.1 0.1148 4 0.71 0.086 0.102 0.123

    9 5 0.67 0.08 0.099 0.123

    10 6 0.63 0.077 0.098 0.127

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    Vant Hoff Plot

    26

    Vant Hoffs method is much more accurate than Essens method.

    Essens is more common!

    0 5 10 150.05

    0.1

    0.15

    0.2

    Time, Mins

    RateC

    onstant

    K3

    K2

    K1

    Oxidation ofRed Dye

    Figure 3.18Vant Hoff plot of the data from tables 3.5 and 3.6

    scuss on ro em: se an o s

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    scuss on ro em: se an o sMethod To Determine The Order For The

    Following Data

    27

    Table 4.1 Buchanans [1871] data for the reaction:

    CICH2COOH + H2COOH + HCI at 100 C

    Time Hours [CICH2COOH] gms/liter

    0

    2

    3

    4

    6

    10

    1319

    28

    34.5

    43

    48

    4

    3.80

    3.69

    3.60

    3.47

    3.10

    2.912.54

    2.26

    1.95

    1.59

    1.39

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    Solution:

    28

    Ca0= 4

    Van't Hoff's

    time Conc first second third

    ln(ca0/Ca) (Ca0/Ca)-1 (CA0/CA)^2-

    0 4 =kone(cao,B5

    ,A5)

    =ktwo(cao,B5

    ,A5)

    =kthree(cao

    ,B5,A5)

    2 3.8 =kone(cao,B6

    ,A6)

    =ktwo(cao,B6

    ,A6)

    =kthree(cao

    ,B6,A6)

    3 3.69 =kone(cao,B7

    ,A7)

    =ktwo(cao,B7

    ,A7)

    =kthree(cao

    ,B7,A7)

    4 3.6 =kone(cao,B8

    ,A8)

    =ktwo(cao,B8

    ,A8)

    =kthree(cao

    ,B8,A8)

    6 3.47 =kone(cao,B9

    ,A9)

    =ktwo(cao,B9

    ,A9)

    =kthree(cao

    ,B9,A9)

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    Solution Continued:

    29

    ca0= 4

    time conc first second third

    ln(ca0/

    Ca)

    (Ca0/Ca

    )-1

    (CA0/CA

    )^2-1

    0 4 #VALUE! #VALUE! #VALUE!

    2 3.8 0.026 0.007 0.003

    3 3.69 0.027 0.007 0.004

    4 3.6 0.026 0.007 0.004

    6 3.47 0.024 0.006 0.003

    10 3.1 0.025 0.007 0.004

    13 2.91 0.024 0.007 0.004

    19 2.54 0.024 0.008 0.005

    25 2.26 0.023 0.008 0.005

    34.5 1.95 0.021 0.008 0.006

    43 1.59 0.021 0.009 0.008

    48 1.39 0.022 0.01 0.009

    Van't Hoff's

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    Vant Hoff Plot

    30

    0 10 20 30 40 500.02

    0.03

    0.04

    0.05

    Time, Mins

    RateConstant

    K3

    K2

    K1

    Hydration of

    Chloracetic Acid

    Figure 3.18Vant Hoff plot of the data from tables 3.5 and 3.6

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    Discussion Problem 2

    Ammonium-dinitramide, (ADN) NH4N(NO2)2, is a oxidant used in solidfuel rockets and plastic explosives. ADN is difficult to process because itcan blow up. Oxley et. Al., J. Phys chem A, 101 (1997) 5646, examinedthe decomposition of ADN to try to understand the kinetics of theexplosion process. At 160 C they obtained the data in Table P3.20.

    31

    time,

    seconds

    fraction of

    the AND

    remaining

    time,

    seconds

    fraction of

    the AND

    remaining

    time,

    seconds

    fraction of

    the AND

    remaining

    0 1.0 900 0.58 2400 0.24

    300 0.84 1200 0.49

    600 0.70 1500 0.41

    Table P3.20 Oxley's measurements of the decomposition ofdinitramide at 160 C

    Discussion Problem 2

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    Discussion Problem 2Continued:

    a) Is this a direct or indirect measurement of the rate?

    b) Use Vant Hoffs Method to fit this data to a rateequation.

    c) If you had to process ADN at 160 C, how long couldyou run the process without blowing anything up?Assume that there is an explosion hazard once 5% ofthe ADN has reacted to form unstable intermediates.

    32

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    Same Spreadsheet As Before To Fit

    Data

    33

    Ca0= =b5

    Van't Hoff's

    time Conc first second third

    0 1 ln(ca0/Ca) (Ca0/Ca)-1 (CA0/CA)^2-1

    300 0.84 =kone(cao,B5

    ,A5)

    =ktwo(cao,B5

    ,A5)

    =kthree(cao,

    B5,A5)

    600 0.7 =kone(cao,B6

    ,A6)

    =ktwo(cao,B6

    ,A6)

    =kthree(cao,

    B6,A6)

    900 0.58 =kone(cao,B7

    ,A7)

    =ktwo(cao,B7

    ,A7)

    =kthree(cao,

    B7,A7)

    1200 0.49 =kone(cao,B8

    ,A8)

    =ktwo(cao,B8

    ,A8)

    =kthree(cao,

    B8,A8)

    1500 0.41 =kone(cao,B9

    ,A9)

    =ktwo(cao,B9

    ,A9)

    =kthree(cao,

    B9,A9)

    2400 0.24 =kone(cao,B1

    0,A10)

    =ktwo(cao,B1

    0,A10)

    =kthree(cao,

    B10,A10)

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    Solution Cont.

    34

    Ca0= 1

    Van't Hoff's

    time Conc first second third

    ln(ca0/Ca) (Ca0/Ca)-1 (CA0/CA)^2-1

    0 1 #VALUE! #VALUE! #VALUE!

    300 0.84 0.000581 0.000635 0.001391

    600 0.7 0.000594 0.000714 0.001735

    900 0.58 0.000605 0.000805 0.002192

    1200 0.49 0.000594 0.000867 0.002637

    1500 0.41 0.000594 0.000959 0.003299

    2400 0.24 0.000595 0.001319 0.006817

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    Solution Cont.

    c) from equ 3.39

    35

    fA

    oA

    1 C

    CLn

    k

    1

    k

    k1=0.0006/sec (from spreadsheet)o

    AC =1 (given)f

    AC =0.95 (what's left if 5% converted)

    sec850.95

    1Ln

    0.0006

    1

    C

    CLn

    k

    1fA

    oA

    1

    Summary: Two Methods To Fit

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    Summary: Two Methods To FitRate Data

    Essens Method

    Most common method

    Plots look the best

    Gives great looking results even with incorrect rateequation

    Vant Hoffs Method

    More accurate than Essen

    Rare in literature

    Plots noisier Highlights weaknesses in rate equations

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    Class Question

    What did you learn new today?