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    334

    Table

    I.

    Variables Relationships

    Ind. Eng.

    Chem.

    Process

    Des.

    Dev. , Vol. 18, No. 2 1979

    emf3 p - p g

    minimum fluidization velocity (Davidson and Harrison, 1 971) Urn*=

    -

    g

    5(

    1

    Em f ) 6idp.11

    cm/s

    uo

    Umf

    U b Umf

    bubble porosity (Davidson and Harrison, 196 3)

    Eb

    =

    ubble velocity (Davidson and Harrison, 19 63) U b

    = U o Um f +

    0 .711(gd~ ) '

    K = K l K 2 / ( K l K , )

    cm/s

    1

    s

    as interchange coefficient (Kunii and Levenspiel, 1969)

    Umf

    D /

    2 g l /

    dB d~

    5 4

    + 5.85(-

    , =

    4.5-

    €mf

    +

    D u b ) I 2

    K , =

    6.78(

    d B 3

    cmZ/s

    B

    lateral dispersion coefficient of solids particles (Kunii, 1966)

    D =

    0 . 1 8 7 ~ b ~ ~ f

    € b

    k m f

    Table

    11.

    Numerical Values

    of

    Fixed Parameters

    Used in Computati ons

    dB

    =

    5 , 1 0 , 1 5 c m

    R

    =

    40 cm

    =

    20, 30, 50 cm

    U 85.6-117.0 cm/s

    (excess air

    =

    10-50%)

    temperature, 800 C

    C =

    2.38

    X

    (mol/cm3)

    D

    =

    1.74 cm2/s

    e m f = 0.5

    Sh.D

    Sh =

    2.0

    h g=-)

    dP

    P

    =

    1.0,

    0.75 g/cm3-

    d = 0.05 cm

    D,,

    = 100

    D or - cmz/s

    Dab

    =

    D/lOO or

    0

    cmZ/s

    feed rate

    F

    =

    6 g/s

    the tre nd of concentration variation is almost independent

    of th e bed height. Th e steady-state carbon concentration

    is approximately inversely proportional to th e squar e of

    th e bed height. On the other hand , the effect of the rate

    of excess air is negligible and the bed reaches the s teady

    state approximately a t

    200 s

    when the bubble diam eter is

    5 cm. Figure

    1

    also show s the w ell-known fact (Rengarajan

    et al., 1977) th at the s teady -state concentration of carbon

    particles is less than 1% by weight.

    A

    concentration of

    1

    g/cm 3 roughly corresponds to 1% by weight in th e

    present system.

    Figure 2 shows the effect of bubble size on the trans ient

    carbon concentration. It can be seen that the concen-

    tration change is drastically influenced by the bubble size.

    Th e average carbon concentration in the bed increases with

    an increase in the bubble s ize. This implies tha t a small

    bubble operation of the bed is more s table than a large

    bubble operation because the bed with a low carbon

    concentration can be easily controlled. When th e bubble

    diam eter is large, e.g., 15 cm, the bed does not reach a

    stab le state because of the insufficient trans fer of gas from

    the bubble phase to the emulsion phase. On the other

    hand, the small bubble operation reaches a s table s tate

    easily.

    Th e large bubble operation enhances t he lateral solid

    mixing an d, thu s, can minimize th e possibility of gener-

    ation of the extremely high concentration near the feeder.

    Therefore,

    it

    is desirable to control the bubble size so t h a t

    it is neither too small nor too large.

    Figure 3 shows the carbon concentration profiles at

    steady s tate with the rate of excess air and th e bubble size

    - 3

    110

    3

    2

    I

    U

    e

    8

    i

    0

    d : $

    0

    cm

    p

    =

    I . o g / cm3

    r , = 2

    0

    C r n

    L -

    20

    cm

    I

    I

    30

    c m

    5

    I I 5

    em

    0.2

    2 20 2 0 0

    2 zoo00

    tim t ~ a c l

    Figure 1. Effect of bed height and excess air rate on the transient

    average carbon concentration.

    I'

    =

    I S

    cm

    6 .

    4

    2 -

    5 cm

    2

    20

    200

    2

    2

    2

    t i m e t

    ( I ~ c )

    Figure

    2.

    concentration.

    Effect

    of

    bubble diameter on the transient average

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    Ind. Eng. Chem. Process Des . Dev . ,

    Vol.

    18, No.

    2,

    1 9 7 9

    335

    1 1 I

    0

    10

    2 3

    40

    r o a i o i

    ~ s i I i c n

    l c m i

    Figure 3.

    Effect

    of

    bubble sizeand excess air rate on the steady-state

    carbon concentration profiles.

    as the parameters . As can be seen from this f igure, the

    effect of th e excess air rate is almost negligible in th e range

    of the excess air rate between

    20%

    and

    50%.

    Figure

    3

    also

    shows that as the lateral mixing of the solids becomes

    poorer, an appreciable concentration gradient is generated

    along the radius, especially in a small bubble operation.

    This phenomenon can sometimes be detr imental, espe-

    cially for noniso therm al systems.

    As

    can be seen, a large

    bubble operation drastically reduces the concentration

    gradient.

    In t he present calculation, we have employed a corre-

    lation for th e solids dispersion coefficient derived by Ku nii

    (1966) as listed in Table

    I.

    Note tha t the d ispers ion

    coefficient is proportional to the bubble s ize. Hiram a et

    al. (1975) experimentally obtained a similar relationship

    between th e dispersion coefficient and bubb le size. Solids

    mixing in a fluidized bed in both radial and axial directions

    is

    mainly induced by bubble motion (Toei et al . , 1966),

    which is obviously influenced by th e bubble diam eter. In

    a fluidized bed where the bubble size is increased by

    coalescence along the bed height, the axial dispersion

    coefficient should be a function of the bubble size and

    change along the bed heigh t. Furthe rmore , the ext ent of

    reac tant conversion may be influenced considerably by the

    bubble s ize. However, the detail of th e relationship be-

    tween th e variable bubble size and the solids mixing is not

    well known.

    The effect of solids density on the transient average

    concentration an d on the s teady s tate concentration are

    shown in F igures

    4

    a n d

    5 ,

    respectively. In obtaining the

    results , we have assum ed th at the solids density does not

    change during the reaction. In real systems, however, the

    dens ity usually changes slightly with reaction time. As can

    be seen in th e f igures, the density difference affects the

    concentrations near the center an d wall of the bed. In spite

    of these effects , the trend of temporal concentration

    variation and the extent of lateral mixing (concentration

    profiles along the radius) are l i t t le influenced by the

    density.

    T he effect of feeding area on th e conc entration profiles

    in the s te ady and un steady s tates is shown in Figures 6

    an d

    7 ,

    espectively. T o generate a uniform concentration

    profile in a large scale fluidized bed, a m ultipoin ts feeder

    is usually used.

    As can be seen from Figure 7 , he con-

    a x + *

    811. 2

    Y

    L - 3 0 s m

    I

    - 2 O m

    dg

    S o c m

    1

    2

    2 2

    x1 zoo0

    zoo00

    t l rn I 1sac1

    Figure 4.

    Effect of solids density on the trans ient average carbon

    Concentration.

    Figure

    5.

    Effect of solids density on the steady-state carbon con-

    centration profiles.

    6 m

    0 2 2 20

    200

    2ooo

    -

    n l ( 4

    Figure 6.

    Effect of feeding area on the transient average carbon

    Concentration.

    centration gradient can be reduced considerably by en-

    larging the feeding area. Th e carbon concentration near

    the center of the feeder is approximately proportional to

    the feeding area with a n ex ponent of

    0.37.

    Th e assum ption of isothermal operation becomes less

    valid if the solid concentration gradient in radial direction

    becomes appreciable. U nder such a condition, the energy

    balance, in addition to t he mass balance, must be carried

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    336 Ind. Eng. Chem. P rocess Des . Dev . , Vol. 18, No. 2 1979

    I W C D I D

    .20%

    d g * S O c r n

    L -3Ocrn

    p . 1 0em3

    I . \ /

    r a M wlon

    r

    Ian1

    Figure

    7.

    Effect of feeding area on the steady-state carbon con-

    centration profile.

    to derive the governing equations. Furthermore, the

    distribution in the size of coal particles may have to be

    taken into account. Naturally, th e degree of difficulty in

    solving the resultant governing equation s

    wll

    be enhanced.

    Our future efforts include considerations of t he effects of

    the tem pera ture and particle s ize variation.

    Concluding Remarks

    The effects of operating variables on the steady-state

    and unsteady-state carbon concentration in a shallow

    fluidized bed combustor have been investigated by using

    the two-phase model of a fluidized bed.

    Th e steady-state and unsteady-state concentrations are

    influenced profoundly by the bubble s ize. Th e time re-

    quired to reach th e s teady s ta te is controlled m ainly by

    the bubble size. Th e effect of the other parameters on the

    concen trations is negligible when compared with the effect

    of bubble size.

    Th e change in the particle density with reaction time

    has l i t t le effect on the s teady-state and unsteady-state

    concentrations. Therefore, it can be assumed tha t th e

    density remains constant in th e bed.

    Enla rgem ent of th e feeder area is an effective method

    in reducing the lateral concentration dis tr ibutions in th e

    bed. Th e maximum concentration at the center of the

    feeder is proportional to the feeder area with an exponen t

    of 0.37.

    Appendix

    Derivation of the Governing Equations. Consider

    a cylindrical shell with a volume of 2arA rL in the shallow

    fluidized bed combuster.

    For

    simplicity, the bubb le phase

    and the emulsion phase in this volume element are lumped

    separately.

    Since the

    flow

    in the bu bble is assumed to be of the plug

    flow, a mass balance of oxygen over an incremental height

    AX in this phase is: (accum ulation of oxygen) = (ra te of

    oxygen in by convection) (rate of oxygen ou t by con-

    vection) (rate of oxygen throug h gas exchange with

    emulsion p hase)

    or

    This is eq

    1

    in the text.

    Since the flow in the axial direction in the emulsion

    phase is assumed to be of the com plete mixing type, a mas s

    balance of oxygen over this ph ase is: (acc um ulatio n of

    oxygen) = (rate

    of

    oxygen in by convec tion) (ra te of

    oxygen out by convection) + (rate of oxygen in by dif-

    fusion) rat e of oxygen out by diffusion)

    +

    (ra te of oxygen

    in through gas exchange with bubble phase) (rate of

    disappearance by reaction) or

    2arArL

    (1 b ) emf

    2arAr(l tb)Umf(CaO

    Cae)+ 2 a r L( 1 b )

    NaeIr

    2 x ( r + Ar ) L( l

    aCae

    at

    L

    ' b ) Nae lr+Ar +J 2arAr'?$(Cab Ca J dX

    SarArL(1 tb)Ra

    Dividing this expression by 2ar Ar L(1 b ) and letting Ar

    - gives

    where

    N,,

    is the diffusional flux and is defined as

    aCae

    N = - D -

    ar

    e ae

    (A-3)

    Ra is the reaction r ate

    of

    oxygen per un it emulsion volume.

    Based on the unre acted core model, the reaction r ate for

    a single coal particle is

    Assuming that the controlling mechanism is gas film

    diffusion, we ob tain

    r, = adplkgCae (A-5)

    Thu s, the reaction rate per unit emulsion volume becomes

    R, = ra.n (A-6)

    where n is the number of coal particles per unit emulsion

    volume. n is related to th e coal concentration, C, by

    64-71

    C

    n = -

    where p is the carbon d ensity of coal particles and is as-

    sumed co nstant. Substituting eq A-5 and A-7 into eq A-6

    gives

    (A-8)

    k,

    R,

    =

    6 Cae

    Substituting eq A-3 and A-8 into eq A-2 gives

    emf Cae = rn, (Cao CaJ + (: rDae$)

    +

    at . L r

    Th is is eq 2 in the text.

    A mass balance of carbon over the em ulsion phase is:

    (accumulation of carbon)

    =

    (rate of carbon in from fe eder)

    + (rat e of carbon in by diffusion) (rat e of carbon out by

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    Ind. Eng. Chern. Process Des. Dev.,

    Vol. 18,

    No.

    2, 1979

    337

    D , = effective dispersion coefficient of solids, cm2/s

    D,, = effective dispersion co efficient of oxygen in the emulsion

    Dab

    = effective dispersion coefficient of oxygen in the bubble

    phase, cm'/s

    diffusion) (rate of disapp earanc e by reaction) or

    2.rrrArL 1 q,) 27rrArFr+ 2xrL (1

    h ) N,, ,

    aC

    a t

    2 ~ ( r Ar)L(l tb)NcJr+b27rrArL(l tb)Rc

    where

    at

    0 f

    F =

    z

    O

    a t r f < r I R

    Dividing t his e xpression b y 27rrArL

    1

    b ) and le t ting A r

    - gives

    (A-10)

    C l a

    t

    =

    h ; rNc) - R ,

    where N, is the diffusional f lux and is defined as

    aC

    ar

    N = - D

    (A-11)

    and w here

    b

    $F

    =

    at

    0

    4

    rf

    .rrrf2(1 tb)L

    O a t r f < r I R

    R, is the reaction rat e of carbon an d is given by

    (A-12)

    k,MC

    PdP

    R,

    = RaMc

    = 6 Cae

    Sub stitu ting eq A-11 an d A-12 into eq A-10 gives

    CCae (A-13)

    $ p + ; --rDS--

    k,MC

    :)

    p d

    aC

    a t

    This i s eq 3 in the tex t .

    Nomenclature

    C

    =

    carbon concentration in the emulsion phase, g/cm3

    C

    = oxygen concentration in the emulsion phase, mol/cm3

    C a b

    = oxygen concentration in the bubble phase, mol cm3

    CaO= initial oxygen concentration (feed gas), mol/cm

    /

    phase, cm'/s

    D

    =

    gas diffusivity in the solid-gas bounda ry, cm2 /s

    d B

    =-bubble diameter, cm

    d

    = particle diam eter, cm

    f l= solids feeding rate, g/s

    g

    =

    gravitational constant, cm/s2

    K

    =

    gas interchange coefficient,

    l / s

    L

    = bed height, cm

    R = radius of the be d, cm

    r = radial distance from th e bed cen ter, cm

    rf

    =

    radius of the feeder, cm

    Sh

    = Sherwood number

    t = time, s

    U =

    superficial velocity of gas, cm/s

    v ,f

    =

    incipient fluidization velocity, cm /s

    X = axial distance from th e bed botto m, cm

    t b

    =

    fraction of the bubble phase

    p = gas viscosity, g/cm s or

    Pa-s

    f

    = carbon feed rate, g/cm 3 s

    = particle density, g/cm3

    Literature Cited

    Avedesian, M. M., Davidson, J. F.,

    Trans.

    Inst. Chem.

    Eng.

    51, 121 (1973).

    Davidson, J. F., Harrison, D., Fluidized Particles , Cambridge University Press,

    New York, N.Y.. 1963.

    Davidson,

    J.

    F., Harrison, D., Fluidization , Chapter 2, Academic Press, New

    York, N.Y., 1971.

    Gear, C. W., Numerical Initial Value Problems in Ordinary Differential Equations ,

    Chapter 9 , Prentice-Hall, Englewood Cliffs. N.J.. 1971.

    Highley,

    J..

    Merrick, D., A . I . C h . E . Symp.

    Ser. No.

    116 67, 219 (1971).

    Hirama, T., Ishida, M., Shirai, T.,

    Kagaku Kogaku

    Rombur Syu. 1, 273 (1975).

    Kunii, D., Levenspiel,

    O., J .

    Chem.

    Eng. Jpn. 2,

    122 (1969).

    Kunii, D., Kagaku Kikai Gijutsu , Maruzen, No. 18, p 161, 1966.

    Ucovets, 0.A., The Method of Lines (Review) , English Trans htii n in Difference

    Merry, J. M. D., Davidson, J.

    F.,

    AIChE

    J .

    51, 361 (1973).

    Rengarajan, P., Krishnan,

    R.,

    Tseng, S. ., Wen,

    C.

    Y., A.1.Ch.E. 70th Annual

    Sincovec,

    R .

    F., Madse n, N. K.,

    ACM Trans. Math. Software

    1, 232 (1975).

    Toei,

    R.,

    Matsuno,

    R.,

    Kagaku Kikai Gijutsu , Maruzen, No. 18. p 135, 1966.

    Equations , Vol. I, p 1308, 1965.

    Meeting, New York, N.Y., 1977.

    Received f o r review May 30, 1978

    Accepted December 4, 978

    This work was conducted under the sponsorship

    of

    the Engi-

    neering Experiment Station (Energy Study Project) of Kansas

    State University.