vvEPA
                                United States
                                Environmental Protection
                                Agency
                                Industrial Environmental Research
                                Laboratory
                                Research Triangle Park NC 27711
                                Research and Development
                                EPA-600/S7-82-027 Sept. 1982
Project  Summary
                                Rates  and  Equilibria  of
                                Devolatilization  and Trace
                                Element Evolution  in
                                Coal  Pyrolysis

                                R. M. Felder, C.-C. Kau, J. K. Ferrell, and S. Ganesan
                                  A laminar flow furnace was used to
                                study the kinetics of devolatilization
                                and evolution of four elements —
                                sulfur, arsenic, lead, and mercury — in
                                the pyrolysis of pulverized coal in
                                nitrogen. The quantities varied in this
                                study included pyrolysis time (170
                                msec-2 sec), reactor temperature
                                (400-900°C), and parent coals (two
                                low-swelling subbituminous coals and
                                one medium-swelling  bituminous
                                coal). Weight losses were estimated
                                using ash as  a tracer. A Fisher Sulfur
                                Analyzer was used to analyze the
                                sulfur content of the feed coal and
                                spent char,  and atomic absorption
                                spectrophotometry was  used to an-
                                alyze for the remaining three elements.
                                  Weight losses of the coals studied
                                increased significantly with time and
                                temperature and approached different
                                asymptotic values at different tem-
                                peratures. The devolatilization rates
                                and asymptotic weight losses of the
                                subbituminous coals were lower than
                                those of the bituminous coal. The
                                elements were released in significant
                                quantities during fast pyrolysis as
                                temperature and time increased, with
                                the elemental release from the bitu-
                                minous coal  proceeding more rapidly
                                and to a greater extent than that from
                                the lower rank coals. The emissions of
                                arsenic and lead in subbituminous coal
                                and lead in  bituminous coal were
                                found to  be proportional to the total
                                 volatile matter release, and the emis-
                                 sions of mercury and  arsenic in
                                 bituminous coal were found to be
                                 proportionally greater  than the total
                                 volatile matter release.  The amount of
                                 sulfur  released  was  found to be
                                 proportional to the amount of dry-ash-
                                 free volatile matter released for both
                                 coals.
                                  Five kinetic models for devolatiliza-
                                 tion were tested. Of  these, a  two-
                                 parallel-reaction model due to Kobay-
                                 ashi provided the best correlation of
                                 the experimental data for the sub-
                                 bituminous coal, and a  distributed
                                 activation energy model  due to  An-
                                 thony was found  best for the bitumi-
                                 nous coal. A single first-order reaction
                                 model for elemental release coupled
                                 with a  model for equilibrium release
                                 derived from  batch pyrolysis experi-
                                 ments was used to correlate elemental
                                 release data.
                                  This Project Summary was devel-
                                 oped by EPA's Industrial Environ-
                                 mental Laboratory, Research Triangle
                                 Park, NC, to announce key findings of
                                 the research project that is  fully
                                 documented in a separate report of the
                                 same title (see Project Report ordering
                                 information at back).

                                 Introduction
                                  Coal represents about 70 percent of the
                                 recoverable fossil fuel resources in the
                                 U.S., and may eventually become our

-------
pri ncipal source of hydrocarbon fuel and
chemical feedstocks. National recogni-
tion of  the  enormous  immediate and
long-range potential of coal has resulted
in substantial efforts directed toward
the development of an economically and
environmentally viable coal  utilization
technology.
  Coal conversion to clean gaseous and
liquid products is especially attractive
for alleviating the growing restrictions
on existing consumption  patterns. The
main approaches to the conversion  of
coal to gaseous fuels are steam-oxidant
gasification, hydrocarbonization, and
pyrolysis (devolatilization). In all  three
processes, pyrolysis plays an important
role. When coal  is heated in any
atmosphere,  it releases volatile products.
In most  coal conversion processes coal
is pulverized and  subjected to  rapid
heating  which causes a significant rate
of devolatilization. The amount  of
volatile matter produced  depends
mainly on the type of coal, the tempera-
ture of the surrounding gas, the heating
rate, the reacting pressure, and the size
of the coal particles.
  The effluent gases from  a  coal
conversion system contain elements  in
minor or trace amounts which are toxic
to humans, animals,  and plants,  or
cause severe corrosion  in  coal-fired
boilers and gas turbines. These elements
may exist as  vapor and/or in association
with  particles in the  effluent gases.
Studies  have  been published on the
occurrence  and distribution of  trace
elements  in different coals  and  in
effluents from coal-fired  steam plants
and  coal gasification plants. The data
obtained in these studies provide a good
qualitative picture  of the pathways  of
trace and minor element constituents in
coal  gasification; however, they do not
provide  the detailed information on
reactor conditions needed to predict the
thermodynamics and kinetics oithe re-
lease of these elements.
  To estimate the types and  quantities
of hazardous emissions released  in the
pyrolysis stage of steam/oxygen  gasi-
fication or  hydrogasification,  it  is
necessary to measure  and model the
rates and equilibria of both devolatiliza-
tion  and evolution of specific species. In
this study, a  laminar-flow furnace  react-
or was  used to determine devolatiliza-
tion  and trace element  release equilib-
ria for rapid pyrolysis at  temperatures
up to 900°C. Several existing devolatil-
ization models were fit to the data  by
nonlinear regression, and the results
were used to evaluate and compare the
models.  In  addition, trace element
evolution data were fit with a first-order
rate law, and the results were used to
draw  inferences regarding  the vola-
tilities of these elements.

Experimental

Preparation of Coal Samples
  Experiments were performed on two
coals: North Barber No. 8 seam HVC
subbituminous coal, Navajo Mine New
Mexico (NB8); and Western Kentucky
No. 11 HVB bituminous coal (WK11).
Table 1 summarizes data on these coals.
  Coal samples were crushed in a Bico
pulverizer with ceramic plates and in a
small porcelain ball mill. The pulverized
coal was  then  size-graded with U.S.
standard  sieves and a  mechanical
shaker; the 325-400 mesh size fractions
of NB8 and WK11 coals were retained
for use in  the experiments.

Experimental Equipment
  A laminar-flow furnace reactor used
by Agreda (1979) was also used in this
study. It was designed to:
   • Feed coal particles into a reaction
    zone of known  length (residence
    time).
   • Raise the temperature of the coal
    particles as rapidly as possible (i.e.,
    at a rate greater than 104°C/sec)to
    the  predetermined pyrolysis tem-
    perature.
   • Quench all the pyrolysis reactions
    as rapidly as possible following col-
    lection  to  prevent  conversion
    through secondary reactions.
   • Separate solid (i.e., char) from gas-
    eous (i.e.,  volatile  matter  plus
    carrier  gas) products  and prevent
    volatile matter from depositing on
    the surface of the solid.
The furnace is made of alumina; it has
an ID of 8 cm and is 1 mlong. The liner is
an alumina tube, 7  cm ID and 0.75 m
long. Heat is supplied by a three-zone,
4000-W, 230-V Thermocraft furnace,
with a  heated length of 47 cm.
  In operation,  a small carrier flow of
cold nitrogen carries  the size-graded,
finely  ground coal  from the  feeder-
hopper into a  preheated nitrogen
stream passing down  through the
vertical furnace  tube  in  laminar flow.
The furnace tube is held at the same
temperature as the preheated main gas.
The small carrier gas flow mixes rapidly
with the  hot gas stream, allowing  the
particles to be brought rapidly to furnace
temperature.
  Coal particles travel  in a  narrow
laminar flow streamline along  the axis
of the furnace and are aspirated into a
water-cooled collector. The collector's
tapered entry accelerates the aspirated
gases to  a high-velocity turbulent flow.
The consequently high  heat  transfer
rates between the gas and collector wall
lead to rapid cooling of the gas and
quenching of the devolatilization reac-
tions.   Residence time can  be varied
from 50 to 2000 msec by adjusting the
distance  between the feeder  and  the
collector and/or adjusting the main gas
flow rate. The temperature of  the
furnace and gas stream can be adjusted
up  to  1000°C.  The pressure of  the
furnace can be  adjusted from atmos-
pheric  to 0.4 atm (gauge).
  A water-jacketed  stainless  steel
collector  is  used to  collect the char
particles following pyrolysis. A thermo-
stated reservoir (90-100°C) supplies
cooling water to the collectors. The hot
water cooling system prevents tars from
condensing on the chars, which would
seriously affect the precision of weight
Table 1
Coal
NM
No. 8
W.K.
No. 11

NM
No. 8
W.K.
No. 11
Coal Characterization Data
Coal Proximate
Characterization Analysis
Code
NB8
WK11
C
55.18
60.07
Rank
HVC
HVB
Ultimate
Analysis (°/<
N
1.21
1.775
FSI
0.5
2.5
y
H
4.12
4.28
Moisture Ash
Volatile
10.09 18.32 33.80
6.34 15.02 34.67
Sulfur
Forms (%)
S Pyritic
0.73 0.31
4.64 2.63
Sulfatic
0.0
0.14
Fixed
37.79
43.97
Organic
0.42
1.87

-------
 loss estimates. An electromagnetic
 vibrator is used at the  bottom  of the
 collector to prevent char particles from
 sticking to the collector walls.

 Experiments and Results
  Two coals  were  pyrolyzed in the
 laminar flow reactor (seeTable 1): North
 Barber No. 8 (NB8, low-swelling New
 Mexico subbituminous coal) and Western
 Kentucky No. 11 (WK11,  medium-
 swelling bituminous coal). A total of 47
 runs were carried out, the first 28 of
 which  were  with  NB8 coal at 500-
 900°C.
  To calculate weight losses, ash was
 used as a  tie element between the feed
 coal and spent char, with a correction
 applied  to account for ash losses. The
 weight losses are  shown in  Figures 1
 and 2  for  NB8  and WK11  coals,
 respectively, NB8  (low-swelling coal)
 exhibited  a much lower devolatilization
 rate than WK11 (medium-swelling coal)
 at  a given  temperature. At higher
 temperatures, equilibrium was achieved
 within tens  of milliseconds for  WK11
 coal;  NB8 coal required hundreds of
 milliseconds.

 Modeling
  Experimental weight  loss data ob-
 tained for  NB8 and WK11 coalsanddata
 for Montana Rosebud subbituminous
 coal obtained  by Agreda et  al. (1979)
 were  correlated with five  models: a
 single first-order reaction model (both
 isothermal and nonisothermal reactor
 operation  being considered separately),
 Badzioch  and Hawksley's (1970)  iso-
 thermal model, Kobayashi's (1976)
 nonisothermal two-reaction model, and
 Anthony's (1974,  1975, 1976) noniso-
 thermal  infinite  parallel  reactions
 model. For the last three models, the
 parameters proposed by the  model
 developers were first used; then, for all
 models, the parameters were adjusted
 to obtain least-squares fits to the data.
 In the latter calculations, an initial set of
 model parameters was chosen, weight
 losses were evaluated at  a  series of
 times and  temperatures corresponding
 to experimental data points, and  the
 unweighted sum of squares of residuals
       SSE = [V%Xp - V*modeif
(D
was calculated. Then the model param-
eters were  systematically varied to
determine the set that minimized SSE.
For the isothermal first-order model, the
parameters were estimated by logarith-
mic transformation followed by  linear
regression;  for the others,  either  a
          50
          40
        I
         ,30
          20
          10
                                            D
                 D  900°C
                 •  800°C
                 O  700°C
                    600°C
                 O  500°C
                       200        400        600        800

                                   Residence Time, m sec


        Figure 1.  Dry ash-free weight loss for NB8 coal.
                    1000
1200
        Gauss-Marquardt nonlinear regression
        or Pattern Search algorithm was used,
        depending on whether or not derivatives
        of the expression for V* with respect to
        the model parameters could be deter-
        mined analytically.

        Equilibrium Devolatilization
         An important parameter of the models
        is the equilibrium or asymptotic weight
        loss at  the reaction temperature. This
        quantity can  be obtained either from
        batch pyrolysis data  or from long
        residence time data in the laminar flow
        reactor. Duhne (1977) has shown that
        asymptotic  equilibrium values for
        physical and chemical processes can be
        estimated from an equation of the form
             V* = —+ V,*, V* X>.67V,*    (2)
       where V* is the weight loss on a dry ash-
       free (d.a.f.) basis, V(* is the long-time
       asymptotic limit of this quantity, IR is the
       residence time, and d = a constant. V*,
       plotted versus 1/tp, should approach a
       straight line at low  values  of the
       abscissa with the intercept equal to V(*.
  Plots of this type were generated for
Montana Rosebud (MRS) (Agreda et al.,
1979) and WK11 coals. The resulting
values of Vf* are  listed in Table 2, along
with batch pyrolysis equilibrium values
obtained by Agreda et al. (1979). NB8
coal did not come close enough to
equilibrium in the LFR experiments for
the given procedure to be used. The batch
values shown in  Table 2 were used for
all kinetic modeling for this coal.
  The fact that  the asymptotic and
equilibrium  weight loss estimates
shown in Table 2  differ isnotsurprising.
In the  case  of  the MRS coal,  the
equilibrium values appear to be higher
than the asymptotic values. This result
is consistent with the finding of Morton
(1979), who reviewed the fast pyrolysis
data of several researchers and noted
that a quasi-equilibrium  is reached
before the particles  are quenched, but
that  additional devolatilization occurs
when the quenched char particles are
reheated in a  batch reactor.
  With  WK11 coal, the equilibrium
values stay higher than the asymptotic
values at  temperatures below 700°C.
This can be  explained by the caking
characteristics of this coal. Caking coals

-------
                                                            D 900\°C
                                                            D SOO°C
                                                               700°C
                                                            O 600°C
                                                             D 400°C
               200
                          400        600       800

                              Residence Time, m sec
                  1000
1200
Figure 2.  Dry ash-free weight loss for WK11 coal.
often devolatilize with the formation of
bubbles and then resolidify during batch
pyrolysis,  while  in  fast pyrolysis the
structure  of  the coal particles is
deformed  as  the volatile matter is
removed. Therefore, after caking (about
700°C), the fast  pyrolysis  asymptotic
weight losses should be higher than the
batch pyrolysis equilibrium values.
  The values of Vf* determined above
(from the LFR  measurements for MRS
and WK1 1 and from batch measure-
ments for NB8) were fitted versus T with
a fourth-order polynomial:
VfV100 = Bo
B4T'4
                             B3T'3
                                 (3)
where T' = T(°C)/100. The coefficients
of this polynomial for the three coals are
shown in Table 3.

Devolatilization  Rate Models

  The devolatilization rate data collected
for all three coals  studied were fitted
with the five cited models. Some of the
models presume a fixed (temperature-
independent) equilibrium volatiles yield.
Fits were  obtained for these models,
both with and without this assumption;
for the latter, equilibrium yields (deter-
mined as described above) were substi-
tuted. For isothermal models, the reactor
temperature  was  assumed constant
but the residence time was corrected to
account for the time required to heat the
particles following  their entry into the
reactor. For nonisothermal models, the
true  temperature-time  history of the
particles in the reactor was substituted
into the model equations.  For the
Badzioch-Hawksley,  Kobayashi,  and
Anthony models, the fits  obtained by
regression were compared with the fits
provided  by the model parameters
suggested by the proponents.
  The following cases were examined:
  •  Single first-order reaction — iso-
     thermal, fitted parameters.
  •  Single first-order reaction — non-
     isothermal, fitted parameters.
  •  Badzioch-Hawksley model — iso-
     thermal, variable equilibrium yield,
     fitted and original parameters.
  •  Kobayashi model — nonisothermal,
     fixed and variable equilibrium
     yield, original and fitted  param-
     eters.
  • Anthony model — nonisothermal,
     fixed  and variable equilibrium
     yield,  original and fitted  param-
     eters.
  Complete descriptions of the models
and the modeling procedures used, and
tabulations and plots of the results, are
given in the full report. The paragraphs
that follow discuss the principal findings
and summarize the conclusions.
  Comparative listings of the  model
parameters (both original and fitted) and
the sum of squares of residuals for all
five models and all three coals are given
in Tables  4-6. As indicated  by the
smaller  values of SSE, the fitted
isothermal models (single first-order
reaction model and Badzioch-Hawksley
model) provide reasonable correlations
of the experimental data. However, the
arbitrary specification of an isothermal
reaction time limits  the  flexibility
required to describe  nonisothermal
pyrolysis in any reactor, and  leads to
anomalously  low  activation  energies.
Therefore, these  two models  were
eliminated from further consideration.
  The results obtained for the models of
Anthony (1974) and Kobayashi  (1976)
are best understood in light of the
differences between these two models:
  • Anthony  postulates an infinite
     number  of parallel  first-order
     reactions, with a common fre-
    quency factor for all rate laws and
    a  Gaussian distribution of activa-
    tion energies. Kobayashi  post-
     ulates two parallel  first-order
     reactions, with different stoichio-
     metric extents, frequency factors,
     and activation energies for each
     reaction.
  • Anthony's model has three adjust-
     able parameters:  the frequency
    factor  and the mean and standard
    deviation of the Gaussian distribu-
     tion of activation energies.  How-
     ever,  indications are  that the
     model is  relatively insensitive to
     the value of the frequency factor,
     so that this parameter may be set
     to an arbitrary value,andthe fitting
     performed by adjusting only two
     variables. Kobayashi's model has
     six adjustable parameters: two
     stoichiometric extents, two fre-
     quency factors, and two activation
     energies.
  • The data  on which Anthony's
     model was based were obtained in
     an electrically heated wire grid
     reactor;  experiments by Suuberg
     et al  (1978) that appeared to con-
     firm the validity of the model were
                                  4

-------
 Table2.    Equilibrium and Asymptotic D.A.F. Weight Losses for WK11 and MRS
            Coals
Asymptotic(O) Weight Loss, %
Coal
WK11

WK11

WK11

WK11

MRS

MRS

MRS

MRS

MRS

NB8
NB8
NB8
NB8
NB8
Table 3.
Coal
MRS
WK11
NB8
Temperature, °C
400

600

800

900

300

400

600

800

900

300
400
600
800
900
Equilibrium(X)
0
X
0
X
0
X
0
X
0
X
0
X
0
X
0
X
0
X
X
X
X
X
X
Coefficients of the Fourth-Order Polynomial for Asymptotic
Bo 81
-1.783 1.1411
-4.291 2.691
1.052 -0.7150
Bz B3
-0.2590 0.02479
-0.5927 0.05477
0.1615 -0.01367
V,
2.94
12.94
17.65
38.76
49.90
44.67
52.90
46.50
0.85
3.27
6.76
11.63
13.44
33.42
37.40
41.73
39.27
46.85
3.27
11.63
33.42
41.73
44.23
Weight Loss
B*
-0.0008233
-0.001775
0.0004044
     performed on the same type of ap-
     paratus. The difficulties associated
     with this approach are uncertainty
     of heating time, inability to quench
     the pyrolysis rapidly, and resolid-
     ification of volatile matter during
     cooling.  On the other hand, Ko-
     bayashi's experiments were per-
     formed in a laminar flow reactor,
     similar to  the one used in the
     present  study. Numerous prob-
     lems  arise in  experiments of this
     type,  such as  ash  loss errors and
     tar recondensation on the collect-
     ed char. The principal advantages
     offered by the LFR are precise con-
     trol over residence time and ex-
     tremely low heating and quench
     times compared  to those char-
     acteristic of the heated grid.

  A  comparison  of the predictions of
both models is shown in Figure 3. A coal
with the properties of Montana Rosebud
subbituminous is used as the basis of
comparison. Devolatilization curves
predicted by both models are shown for
600°C, corresponding to a relatively low
pyrolysis temperature, and  800°C, a
moderate-to-high temperature. The
model parameters are those suggested
by Anthony (1974)  and Kobayashi
(1976).  The predictions of  the two
models are seen to be quite different:
Anthony's model predicts that equilib-
rium is reached in a few hundred milli-
seconds, while Kobayashi's model pre-
dicts an increasing trend even at long
residence  times. At all temperatures,
Anthony's model  predictions  are con-
sistently above Kobayashi's model pre-
dictions.
  The observed differences are consis-
tent  with  the previous observations
regarding the two models. Anthony let
his coal samples remain in the heated
grid reactor for a few seconds after the
heater was  turned off. Therefore, his
weight loss values should reach equilib-
rium during this period of time and stay
higher than those of Kobayashi.
  Results obtained for the parameters
determined by fitting Anthony's model
to our data have been compared with
results based on  Anthony's original
model parameters. The fitted parameters
for the medium-swelling high rank coal
(WK11) are close to Anthony's values,
although the  spread  of  the fitted
activation energy distribution is narrow-
er than Anthony's. On the other hand,
contradicting Anthony's prediction, the
fitted parameters  for NB8  and  MRS
coals suggest that a single reaction with
a low activation  energy dominates the
decomposition of  low-swelling low-
rank  coals. However, this result does
not eliminate the  possibility that the
pyrolysis may be better described as a
finite set of decomposition reactions with
different activation  energies.
  Kobayashi's model has this possibility.
However,  for this  model a* well, the
values of  the fitted parameters for all
three coals imply that a low activation
energy  first-order  reaction  dominates
the overall pyrolysis between 400 and
900°C. The rate  constants for the first
reaction (Ki) at 900°C obtained from the
parameters in Tables 4-6 are one to two
orders of magnitude greater than those
for  the  second reaction (K2), with the
disparity increasing as the temperature
decreases and the  coal rank increases.
Thus, adding  a second reaction with a
high  activation  energy  makes  little
difference for a medium-swelling high-
rank coal like WK11 and essentially no
difference for low-swelling low-rank
coals  like MRS and NB8.

  The conclusion is that  at below
1000°C, pyrolysis of MRS and NB8
coals (and presumably of other low-
swelling low-rank coals) is well described
by  a  single  first-order decomposition
rate law; replacing this law by a discrete
set  of reactions with higher activation
energies  does  not improve the fit
significantly,  and  replacing  it with  a
continuous distribution of high activation
energies makes the fit  worse. This
conclusion  basically supports the
findings of Kobayashi and is inconsistent
with those of Anthony and Suuberg. On
the  other hand, Anthony's  model  is
quite consistent with our results for the
pyrolysis of a medium-swelling high-
rank coal, although the standard devia-
tion of our activation energy distribution

-------
  i
  I
  Ci
  •o
  
-------
Table 4.

Model

Single
First -Order



Badzioch
and
Hawk si 'ey







Comparison of Model Parameters and SSE Values (MRS)
Isothermal Equivalent Yield Parameters
Yes No Fixed Variable Fixed Fitted
X XX

XXX


X XX


X XX


y
s\
y
A
x
X X

Parameter
Values
Bo = 93. 5(1 '/sec)
Eo = 8. 7(kcal/mole)

B0= 7677(17 sec)
Fo= 18(kcal/mole)
K-< = 0.001031
K2 = 589
Q = 1.8
A =8.36* 104(l/sec)
B - 8.9(kcal/mole)
K, = 0.001031
Kz = 589
Q = 1.8
A =906(l/sec)
P = 6 37(kcal/mole)
32 = 1.0
5, = 2 x I0s(l/sec)
82=1.3* 107(l/sec)
F, = 25(kca//mole)
£2 = 40(kcal/mole)


SSE
413

242


2184



194

270


590
 Kobayashi
                                                                                  32 = 1.0
                                                                                  5, = 6030(l/sec)
                                                                                  F, - 18(kcal/mole>
                                                                                  B2=6.6* 106(l/sec)
                                                                                  E2 - 40(kcal/mole)
                                                                 230
                                        X
                  X
Anthony
                            X
Ko= /.Ox  10'°(//sec)
V* = 47%
Eo = 48.7fkcal/mole)
s  = 9.36(kca//mo/e)

Ko = /.Ox  W'Wsec)
£o = 48.7(kca//mo/e)
s  = 9.36(kcal/mo/e)

K0= /.Ox  W13(l/sec)
£0= 18.9(kca//mo/e)
s  = 1.0 x  JO~3(kcal/mole)
1079
                                                                 588
                                                                                                              227
ments. The solid lines shown in Figures
4 and 5 are the predictions of this model.
No fitting was done for the other
elements  in  NB8 coal  or for  any
elements in WK11 coal because of the
high  degree  of scatter  of  the  data.
Details of the  calculations and results
are given in the full report.


Conclusions
  • Several models can be used to fit
    most of  the  devolatilization  rate
    data obtained in this study with
    more or less equivalent degrees of
    success; in fact, a model consisting
    of a single first-order decomposi-
    tion reaction  is as good as any of
the more complex models for the
two low-rankcoalsstudiedand not
too much worse than the best of
the models for the bituminous
coal. Moreover, the single reaction
model  parameter values  for both
low-rank coals are  quite similar:
the pre-exponential factor is roughly
7750(s~1), and the  corresponding
activation energy is  18 kcal/mole.

All fitting  studies support the
notion that the kinetics of low-rank
coal pyrolysis are dominated by a
single first-order reaction with  a
low activation energy. This contra-
dicts  the findings of Anthony
(1974)  and Suuberg et al. (1978),
   whose  results  support  the con-
   clusion that pyrolysis is in reality a
   series of  parallel  reactions with
   activation energies distributed
   over a much higher range. On the
   other hand, the data obtained in
   this study for the bituminous coal
   are quite consistent with Anthony's
   picture, albeit the spread of the
   activation energy  distribution is
   narrower  than  that proposed  by
   Anthony.

 • Kobayashi's model with its original
   parameters does a reasonable job
   of representing the pyrolysis of the
   two  low-rank coals  studied. Im-
   provements can be made by ad-

-------
Table 5. Comparison of Model Parameters and SSE Values (NB8)a
Isothermal Equivalent Yield Parameters
Model Yes No Fixed Variable Fixed Fitted
X XX
Single
First -Order XXX
X XX
Badzioch
and
Hawksley
X XX
X X
X
X X
Parameter
Values
Bo = 353 (I/ sec)
E0 = 11.3(kcal/mole)
B0= 7853(1 '/sec)
E0= 18 (kcal/mole)
K, = 255* 10~3
K2=471
Q = 1.2
A =8.36* 10" (//sec)
B - 8.9(kcal/mo/e)
/C, = 2.55x 70~3
K2=471
Q = 1.2
A =4335 (//sec)
B = 84. (kcat/mo/e)
a2 = 1.0
Bi = 2.0* 10s (//sec)
£, = 25 (kcal/mole)
B2= 7.3x JO7 (I/ sec)
£2 = 40 (kcal/mole)
SSE
397
154
11281
134
722
679
Kobayashi
                                                                                  az = 1.0
                                                                                  B, = 7530 (//sec)
                                                                                  E,= 18 (kcal/mole)
                                                                                  B2= 1.44*  JO6 (I/sec)
                                                                                  Ez=40(kcal/mole)
                                                                  160
Anthony
                                     K0= /.Ox J0'°(l/sec)
                                     l/,*= 43%
                                     £o = 49.38 (kcal/mole)        1341
                                     s  =0.36 (kcal/mole)

                                     K0= 1.0 x 10 (I/sec)
                                     £o = 48.7 (kcal/mole)          953
                                     s  =9.36 (kcal/mole)

                                     K0= /.Ox JO'3 (I/sec)
                                     £0= 18.9 (kcal/mole)          246
                                     s  =O.16 (kcal/mole)
"Batch equilibrium yields used for V*

    justing the parameter values, but
    not to the extent that the original
    values are discredited. Anthony's
    model appears to be superior for
    describing  the  pyrolysis of high-
    rank coals.

  • Anthony's  model with its original
    parameters fails to fit the data for
    any of the coals studied. Consider-
    able improvements are obtained
    for bituminous coal by allowing the
    asymptotic weight loss to vary with
    temperature, and decreasing the
    standard deviation of the activa-
    tion energy distribution. However,
    for low-rank coals, the model  is
consistently outperformed  by a
single first-order decomposition
reaction model with a low activa-
tion energy.

The contradiction between the re-
sults  obtained  here for low-rank
coals and those of Anthony (1974)
and Suuberg, et al. (1978) has not
yet been resolved, although it may
be attributable to the difference be-
tween the operating character-
istics of  laminar  flow reactors
(such as those used in this study
and by Kobayashi) of electrically
heated grid reactors (such as those
used by Anthony and Suuberg).
Sulfur, mercury, lead, and arsenic
are released in  significant  quan-
tities during fast pyrolysis; the re-
lease  is completed  in tenths of
seconds. The release of these ele-
ments  from low-swelling coal is
quite different from that  in medi-
um-swelling  coal,  with elements
being released much more rapidly
and to greater extents from the lat-
ter.
The emissions of arsenic  and lead
in NB8 coal and lead in WK11 coal
are proportional to the total volatile
matter release, and the emissions
of mercury and  arsenic in WK11
                                  8

-------
Table 6.
Model
Single
First-Order
Badzioch
and
Hawksley
Comparison of Model Parameters and SSE Values (WK1 1)
Isothermal Equilibrium Yield Parameters
Yes No Fixed Variable Fixed Fitted
X XX
XXX
X XX
X XX
Parameter
Values
B0=6320(l/sec)
E0= 14.2 (kcal/mole)
B0= 16035(1 /sec)
fo= 19. 12( kcal/mole)
K,= 1.930* 10'3
K2=676
Q = 1.8
A = 6. 1 x W7 (I/ sec)
B = 16.3 (kcal/mole)
K^ = 7.338 x W3
K2=676
Q = 1.8
A = 6. 1 x 107 (I/ sec)
B = 16.3 (kcal/mole)
SSE
597
439
1143
513
X
X
X
X
X
a2= 1.0
fl, = 2.0 x 10s (I/sec)
B2= /.3x W7 (I/ sec)
Et = 25 (kcal/mole)
E2= 40 (kcal/mole)
7679
4681
Kobayashi
                                                                                 a2 = 1.0
                                                                                 fl, = 4.8 x 104(l/sec)
                                                                                 E1 = 18 (kcal/mole)
                                                                                 82= 5.0 x 106 (I/sec)
                                                                                 E2=40 (kcal/mole)
                                                                     394
Anthony
                                         K0= /.Ox W3 (I/sec)
                                         l/*,= 48%
                                         E0= 54.8 (kcal/mole)
                                         s = 17.2 (kcal/mole)

                                         K0= 1.67*  10'3 (I/sec)
                                         f0= 54.8 (kcal/mole)
                                         s = 17.2 (kcal/mole)

                                         E0= 55.2 (kcal/mole)
                                         s =6.18 (kcal/mole)
                                                                                                             2842
                                                                                                             670
                                                                                                             243
    coal  are  proportionally greater
    than  the total volatile  matter re-
    lease. The amount of  sulfur re-
    lease was  nearly directly propor-
    tional to the amount of dry-ash-
    free volatile  matter  released for
    NB8 and WK11  coals.  This con-
    firms the findings of Agreda et al.
    (1979).
    The kinetics of sulfur and lead re-
    lease for NB8 coal can be modeled
    using a first-order reaction  model
    coupled with a model for equilib-
    rium  release derived from  batch
    pyrolysis experiments. The lack of
    precision in the retentions of other
    volatile  trace elements  prevented
    the meaningful determination of
     kinetic parameters for the release
     of these elements.

Recommendations
  The most  important addition to the
work performed in this  study is the
sampling and chromatographicanalysis
of the gases produced in both the batch
and laminar flow reactors. Gas samples
should be analyzed for major  compo-
nents by thermal conductivity detection,
for trace hydrocarbons by flame ioniza-
tion detection, and for trace sulfur gases
by flame photometry. The results will
elucidate the mechanism of pyrolysis,
and  will  shed light  on  the presently
unresolved contradiction  between the
results favoring the  single first-order
decomposition rate law and the distrib-
uted activation energy model.
  The  procedures for trace element
sampling and analysis should be refined
to afford a greater degree of experimental
precision, and the modeling  efforts
commenced  in this  study should be
continued. The list of elements  studied
should be extended to cover a wider
range of  species that  are both  volatile
and  potentially  hazardous, such as
selenium, beryllium, antimony,  and
vanadium.

References
  1. Agreda, V.  H., "Devolatilization
    Kinetics and Elemental Release in
    the Pyrolysis of Pulverized Coal,"

-------
.§
100

 90



 75



 60



 45



 30


 90



 75



 60



 45



 30
                                                                 900°C
                                                                 WK11
                 D

                 D
                                                        l
    es, Plenum Press, New York, NY,
    1979.
 9.  Kau, C.C., "Devolatilization Kinetics
    and  Elemental  Release  in  the
    Pyrolysis of Pulverized Coal," M. S.
    Thesis, Department of Chemical
    Engineering, North Carolina State
    University, Raleigh, NC, 1980.
10.  Kobayashi,  H., Sc.D. Thesis,  De-
    partment of Mechanical Engineer-
    ing, Massachusetts Institute of
    Technology, Cambridge, MA, 1976.
11.  Suuberg, M., W. A. Peters, and J. B.
    Howard, "Product Composition and
    Kinetics of Lignite Pyrolysis," Ind.
    Eng. Chem. Process Design Devel-
    op., 17, p. 1 1978.
                     300             600              900
                             Residence Time, m sec
                                                                   1200
Figure 4.  Sulfur retention in LFR chars.

   Ph.D. Thesis, North Carolina State
   University, Raleigh, NC, 1979.
2.  Agreda,V. H.,R. M. Felder,and J. K.
   Ferrell, "Devolatilization Kinetics
   and  Elemental  Release  in the
   Pyrolysis  of Pulverized Coal," U.S.
   Environmental Protection Agency
   Report  EPA-600/7-79-241  (NTIS
   PB 80-130222),  November  1979.
   [Abbreviated version  in Coal Pro-
   cessing Technology, Vol.  VI, CEP
   Technical Manual, p. 87 (1980).]
3.  Anthony,  D.B., Sc.D Thesis, Massa-
   chusetts  Institute of Technology,
   Cambridge, MA 1974,
4.  Anthony,  D. B., J. B. Howard, H. C.
   Hottell, and H. P.  Meissner, "Rapid
   Devolatilization of Pulverized Coal,"
   Fifteenth  International Symposium
   on Combustion, p. 1313, The Com-
                                        bustion Institute, Pittsburgh,  PA,
                                        1975.
                                      5. Anthony, D. B., J. B. Howard, H. C.
                                        Hottell, and H. P. Meissner, "Rapid
                                        Devolatilization and Hydrogasifica-
                                        tion of Bituminous Coal," Fuel, 55,
                                        p. 121  1976.
                                      6. Badzioch, S.,andP G.W. Hawksley,
                                        "Kinetics of Thermal Decomposition
                                        of Pulverized Coal Particles," Ind.
                                        Eng. Chem. Process Design Devel-
                                        op., 9,  p. 521 (1970).
                                      7. Duhne, C.  R., "Calculating the
                                        Approach to Equilibrium," Chem.
                                        Eng., 84, No. 18, August 29, 1977.
                                      8. Horton, M. D. "Fast Pyrolysis," in L.
                                        D. Smoot  and D. T. Pratt (Ed.),
                                        Pulverized-Coal  Combustion and
                                        Gasification:  Theory  and Applica-
                                        tions for Continuous Flow Process-
                                10

-------
   110



   100



    90



    80



    70



    60
c
.o

I   50
Q)

9)

   100




    90




    80




    70



    60



    SO



    40
      500°C
                                                     900°C
   30\
                                O
                 o
              Q
                     Q
                                   D
                           Q
               D
                              I
                                                           WK11
  O
              200      400       600      800


                           Residence Time, m sec
1000
                                                              1200
Figure 5.  Lead retention in LFR chars.

-------
100



 60



 20

100



 60



 20

  0,
B
       D

D    D

Q   ^
                           D
                            Q
                    D
                                                NB8
                   O
                                     O
     ,Q
     n  i
                               O
                                                   Q
WK11
 I	
          700       300        500        700
                            Residence Time, m sec

Figure 6.  Mercury retention in LFR chars.
                                    900
                                       1100
               72

-------
   700
    80
    60
   40
 - wo
a
4)
ec
   80
   6'0
   40
   20
                            D
                        D
                              D
D
                                   O
 O


D
            NB8
                       D 900°C
                       d800°C
                       O 600°C
                       0 500°C
                       t> 400°C
            WK11
                  O
                                              O
                                                           O
               O
                       D
                                                 O
                                     O
                           D
          100       300       500        700       900

                           Residence Time, m sec
                         1100    130O
Figure 7.  Arsenic retention in LFR chars.
  ft. M. Felder, C.-C. Kau. J. K. Ferrell. and S. Ganesan are with North Carolina
   State University, Raleigh, NC 27650.
  N. Dean Smith is the EPA Project Officer (see below).
  The complete report, entitled "Rates and Equilibria ofDevolatilization and Trace
   Element Evolution in CoalPyrolysis. "(Order No. PB 82-260 944; Cost: $12.00.
   subject to change) will be available only from:
         National Technical Information Service
         5285 Port Royal Road
         Springfield, VA 22161
         Telephone: 703-487-4650
  The EPA Project Officer can be contacted at:
         Industrial Environmental Research Laboratory
         U.S. Environmental Protection Agency
         Research Triangle Park, NC 27711
                                                                                       OUSGPO: 1982 — 559-092/0523

-------
                                                     X c
                                                       (/>

                                                     fi
                                                     Is
                                                     CD
                                                     c
                                                     (/>
                                                     CD
o en c o
3P CO»  — •
-i. o^ co -••
o   •  -»»
oi CO   -h
to o m o
O C 3 -J
«.  r+ < 0.
r- oo -*•
   — ' 3 (/>
   Q» 3 — •
      3 — •
 O CO O)
 -p» ft — •
   n>
      (0
      o
      c*


      O



      Q>
      (£1
      (D
85

                                              @j
                                                                  O

                                                                  5'
                                                                  o

                                                                  5
                                                                  3
                                                                  0)
                                                                  O
                                                                  I
                                                                  en
                                                                  K)
                                                                  O)
                                                                  oo
              p- Va*^
              m
                                                           m > T) m
                                                           -o
-------