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196 Fluidization, Solids Handling, and Processing

calculated separately, rather a pseudo-homogeneous convective coefficient hc is sought. Attention is thus focused on the “boundary layer” of the two-phase mixture at the heat transfer surface. Different approaches are used by various authors to represent the essence of the thermal transport process in this layer. The simplest form of this approach is to borrow from single phase convective correlations, and attempt to find general empirical relationships between an effective convective Nusselt number and some appropriate Reynolds number. Equations (17–21) represent examples of this approach, with their concurrent advantage of simplicity and disadvantage of limited applicability.

Martin (1984) suggested a more mechanistically based approach, utilizing analogy between kinetic motion of molecules in gases and particle motion in the FFB suspension. By drawing on the kinetic theory of gases, Martin developed a model to account for thermal energy transport across the boundary layer by particle motion. The resulting Nusselt number for particle-enhanced convection is obtained as

Eq. (25)

N u c

hc d p = ε s (Z ) (1- e- Νwp /CZ )

 

 

 

kg

 

where:

εs

= average solid volume fraction in bed

 

Z

=

ρ p C pp d p

wp

 

6 k g

 

 

 

 

 

Nwp

= Nusselt number for wall-particle heat transfer

 

wp

= Average velocity of random particle motion

The wall-particle Nwp represents the heat transfer process between the wall and a contacting particle. For gas-solid systems, where thermal resistance of the gas gap dominates,

 

~ 4

é(1+

 

)·

æ1 +

1

ö

-1ù

Eq. (26) N wp

K n

 

÷

 

ê

 

ln ç

 

ú

 

 

ë

 

 

è

K n ø

û

where:

Eq. (27)

where:

 

 

 

 

 

 

 

Heat Transfer in Fluidized Beds 197

Kn = Knudsen number for gas in gap

 

 

 

 

 

 

 

k g

 

 

 

 

 

4

æ

2

 

ö

2πRT/ M g

 

=

 

ç

 

- 1

÷

 

 

 

 

Kn

 

 

P (2C pg - R/ M g )

 

 

ç

γ

 

÷

 

 

d p è

 

ø

γ = accommodation constant (» - 0.9 for air at ambient temperature)

Using Maxwell’s distribution for particle velocity, Martin obtained the following expression for the average random particle velocity as a function of particle size and concentration,

 

 

 

æ

gd

 

 

ε

 

- ε

1

 

 

 

p

 

s ,mf

ö 2

Eq. (28)

w p

=

ç

 

 

·

 

 

s

÷

5ε

 

 

 

ε

 

 

 

 

 

ç

s ,mf

 

 

s

÷

 

 

 

è

 

 

 

 

ø

The parameter C in Eq. (25) is a dimensionless parameter inversely proportional to the average residence time of single particles on the heat transfer surface. It is suggested that this parameter be treated as an empirical constant to be determined by comparison with actual data in fast fluidized beds. The lower two dash lines in Fig. 17 represent predictions by Martin’s model, with C taken as 2.0 and 2.6. It is seen that an appropriate adjustment of this constant would achieve reasonable agreement between prediction and data.

An alternate modeling approach is that suggested by Molerus (1993) and Wirth (1993, 1995). These researchers reasoned that the wall-to- suspension heat transfer in FFBs depends on the fluid mechanics immediately near the wall. They further conclude from experimental investigations that there is a thin layer near the wall of low solid concentration, providing significant thermal resistance between the wall and falling strands of relatively high solid concentrations. Consequently Wirth and Molerus sought to describe the Nusselt number for heat transfer between the wall and the two-phase suspension in terms of dimensionless numbers which characterize the gas-particle flow near the wall. They report that a dimensionless pressure-drop number which measures bed-averaged solid concentration, and the Archimedes number for the particle/gas system are sufficient to

198 Fluidization, Solids Handling, and Processing

correlate the convective heat transfer coefficient over wide ranges of fluid properties and operating conditions. At low Archimedes numbers, heat transfer occurs primarily by gas conduction. At higher Archimedes numbers, gaseous conduction and convection both contribute to heat transfer. The correlation suggested by Wirth (1995) simply assumes that conduction and convection are additive, resulting in the following correlation.

 

hc d p

é

DP/DH

ù 0.5

 

Eq. (29)

= 2.85 ê

ú

+ 3.28 ´ 10 - 3

Recl Prg

 

 

 

 

k g

ëê g (ρ s - ρ g )(ε s , mf )ûú

 

 

where:

Recl

= Reynolds number for falling cluster strands

ρg d pU cl

=μ g

Ucl = velocity of falling cluster strands

Based on some physically reasoned assumptions, Wirth (1990) obtained the following relations for estimating Reynolds number of the falling strands:

Eq. (30)

 

 

 

Re cl =

 

 

2 (1 - φ ) 2 Re mf +φ Re t

 

 

 

 

 

 

2 [φ + (1 - φ )ε gmf ]

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ìé

(1

- φ )4 Re 2

+ (1 - φ )2 φRe

 

 

 

ù

(ε s ,mf

½

íê1 - 4

t

Re

mf

ú -189

)φ 3 (1 - φ )Ar ]

îë

 

 

 

mf

 

 

 

 

 

 

û

 

 

 

[2 (1 - φ )2 Re

 

+ φRe

 

-1

ü

 

 

 

 

 

 

 

mf

t

]

+ 1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ý

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

þ

 

 

 

 

 

 

 

Heat Transfer in Fluidized Beds 199

where:

(1 - φ )=

2.3

P/

H

 

(ρ

s

- ρ

)

 

g

 

 

 

g ε s,mf

 

ρ g u g ,mf d p

Remf

μg

=[1.14 ×103 + 0.04 Ar]1/2 - 33.7

Ret ρ g ut d p

μg

Figure 27 shows a comparison of Wirth’s correlation with experimental data for particles of various materials and diameter, in FFBs operating at various pressures. While the log-log plot submerges numerical differences, the agreement is generally good.

Models for estimating the radiative heat transfer contribution in fast fluidized beds parallel those proposed for dense bubbling beds, as reviewed above. The more mechanistically based approach of treating the particlegas medium as a radiative participative medium has been attempted by only a few researchers for FFBs. Chen, Cimini and Dou (1988) used the twoflux radiative model of Eqs. (12–13) to analyze simultaneous convection and radiation in high temperature FFBs. Turbulent convection was combined with decreet radiative fluxes in the three transport equations, including a term for volumetric heat generation. Sample results for fluidized combustor conditions predicted a significant interdependence of radiative and convective heat transfer. This conclusion was verified by the experimental measurements of Han (1992) who showed that the contribution of radiative heat transfer was strongly effected by bed-averaged solid concentration, decreasing with increasing solid mass flux and decreasing gas velocity.

200 Fluidization, Solids Handling, and Processing

.

\

03

 

4~

-C"

!~

-=:

4

0.- 1

c>'

I

~

2

"

 

..

 

c[

 

 

\ ~

,..m

'.;oD

~,..

 

 

 

 

 

 

 

4

 

~

 

 

I

 

 

 

 

-a

 

..~..

 

 

 

~

0

 

"O~c:

 

 

 

..

 

~a.. I

>~-

 

 

 

a

.D

..

.DN-

 

 

 

 

 

 

 

 

 

...

~ ...

 

 

 

 

 

 

~

c

 

 

 

 

 

 

o

o

 

 

.

 

 

 

O'.D

i~i

 

 

 

"0

 

 

 

8

 

9

 

.0

 

 

 

8

 

e

 

 

 

N

o

0

...

 

 

 

N

~

...

«)

...

 

 

 

"

"

"

"

 

 

 

 

 

 

 

 

..

..

..

..

 

 

 

 

 

c(

c(

0(

 

 

~-

 

o

 

 

00

 

 

0

 

 

 

 

 

 

O

 

 

 

 

-

 

 

 

 

 

 

 

 

-nN

 

 

 

 

-1

<:1

01

e

\.I

I

..-

0- I

..

~

..,

'0

"-

...

I

-~

-0

Figure 27. Comparison of model of Wirth with experimental data. (From Wirth, 1995.)

Heat Transfer in Fluidized Beds 201

The more common approach is to treat the particle-gas suspension as an equivalent gray surface parallel to the heat transfer surface. Equation (11) would than be used with F taken as unity. Grace (1986) suggests that the emissivity of the particle-gas suspension can be approximated as,

Eq. (31) eb ¾ 0.5(1 + es )

where es is the surface emissivity of the solid particles.

This gray body approach, or some modified version, has been the more popular approach used by various authors, including Palchonok et al., (1995), Anderson and Lechner (1993), Mahalingan and Kolar (1990).

Similar models using a multi-flux analysis of particle absorption and scattering are reported by Radauer, Glatzer and Linzer (1996).

NOTATIONS

A

Volumetric absorption coefficient of radiation

Ar

Archimedes number, Eq. (1)

CD

Drag coefficient for single particle

Cp

Heat capacity

d, D

Diameter

Dt

Tube diameter

e

Radiative emissivity

e

Volumetric concentration (fraction) of a phase

F

View factor for radiation

fl

Time fraction of lean phase

GMass flux per unit flow area g Gravitational acceleration

HHeight in bed

h effective heat transfer coefficient

IForward radiative flux, Eq. (12)

JBackward radiative flux, Eq. (12) k Thermal conductivity

LLength

MMolecular weight

μViscosity

Nu Nusselt number, Eq. (7)

202 Fluidization, Solids Handling, and Processing

P

Pressure

Pr

Prandtl number

R

Radius of fluidized bed

r

radial distance from centerline

S

Volumetric scattering coefficient of radiation

ρDensity

τResidence time

T Stefan Boltzmann constant of radiation u Superficial gas velocity

y Distance from wall surface

Subscripts

bBed

cConvective

cl

cluster

d

Dense phase

g

Gas

l

Lean phase

mf

Minimum fluidization

p

Particle

pa

Particle packet

rRadiative

sSolid

susp Solid-gas suspension t Terminal

w Wall

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Heat Transfer in Fluidized Beds 203

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204 Fluidization, Solids Handling, and Processing

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