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Carbon 42 (2004) 351–359
www.elsevier.com/locate/carbon
Combustion behavior of xylite/lignite mixtures
D. Vamvuka *, E. Kastanaki, M. Lasithiotakis, C. Papanicolaou
Department of Mineral Resources Engineering, Technical University of Crete, Kounoupidiana, 73100 Chania, Greece
Received 23 May 2003; accepted 4 November 2003
Abstract
The behavior and the kinetics in nitrogen and air of two low-rank coals (lignite and xylite) and their blends, as well as the
compatibility of the component coals in the blends were evaluated, in an effort for the rational use of poor coals.
The experiments were conducted in a thermobalance system, at non-isothermal heating conditions, with heating rates of 20 and
100 �C/min, in the temperature range of 25–850 �C. Material particle size was )100 lm.
A first-order parallel independent reactions model and a power law model fitted successfully the rate data of pyrolysis and
combustion, respectively. Activation energy values and reaction orders ranged from 23 to 182 kJ/mol and 0.8 to 2 respectively. The
heating rate did not affect the kinetic parameters considerably, however when this was increased the reactions were shifted to higher
temperatures and the rates were greater.
The pyrolysis kinetics of lignite/xylite blends could be sufficiently predicted, based on the data of the individual fuels. However,
this was not true in the case of char combustion. Blending of lignite with xylite, in any proportion, seemed to cause some interactions
between the component coals in air.
� 2003 Elsevier Ltd. All rights reserved.
Keywords: A. Coal; B. Pyrolysis, combustion; C. Thermal analysis; D. Reaction kinetics
1. Introduction
The problem of the rational use of low-rank coals has
not yet been solved. In Greece, where lignites constitute
the major energy resource, covering 70% of the demand
for electricity production, this problem is caused by the
significant share of non-combustibles and their un-favorable chemical properties, which results in a lower
availability and a higher running cost of the plants.
An efficient way of solving the above problem is
probably blending. Coals can be blended to produce a
usable fuel from the coals available and increase the
number of supply options. Also, apart from reducing
plant costs, they can be blended to improve the com-
bustion performance and meet emission limits [1].However, as coal quality affects virtually every compo-
nent in the power plant, the impact of blending different
coals is not known and blending can result in serious
problems.
Since reaction rates are influenced by the composition
and the particle size of the coals, as well as the operating
*Corresponding author. Tel.: +30-821-37603; fax: +30-821-69554.
E-mail address: [email protected] (D. Vamvuka).
0008-6223/$ - see front matter � 2003 Elsevier Ltd. All rights reserved.
doi:10.1016/j.carbon.2003.11.002
conditions and plant design, the knowledge of the re-
activities and the kinetics of the blends will provide
valuable information for the proper operation of the
combustion systems. The reactivities of carbonaceous
materials are commonly investigated by using iso-
thermal and dynamic thermogravimetric experiments.
There is an extensive literature on coal pyrolysis andcombustion kinetics [2–7], however this is limited as
concerns the kinetics of the blends [6,8]. Over-
simplifications, such as the description of the whole
process by a pseudo-first-order reaction, have been
widely used [3,4,7,9], however more sophisticated mod-
els, describing the pyrolysis/combustion process as a
series, consecutive or parallel first/nth-order processes,
are being developed recently, as being more accurate[5,10–12].
The overall aim of this work was to evaluate the
compatibility of the component coals in the blends, with
respect to pyrolysis or combustion and investigate pos-
sible interactions, which may or may not be beneficial, in
an effort for the rational use of poor coals. Thus, the
devolatilization and combustion reactivities of a lignite
and a xylite and their blends were studied under non-isothermal thermogravimetric experiments and kinetic
models, which could approximate reactivity changes
352 D. Vamvuka et al. / Carbon 42 (2004) 351–359
during conversion and could be used in mass balance
equations established in pulverized coal combustion
systems, have been developed.
2. Experimental
2.1. Materials
The materials, which were used in the present study,
were a lignite from the Ptolemais basin and a xylite from
the Vevi basin, in north Greece. Both are brown coals of
similar rank. However, the lignite is a lithotype having
matrix coal derived from marsh reeds, sedges, etc.,which are rich in cellulose, while the xylite is a lithotype
rich in woody material with over 10% stems and there-
fore rich in lignin. The chemical characterization of
these coals is shown in Table 1. Blends of the Ptolemais
lignite with the xylite, in proportions 80/20, 60/40, 40/60
and 20/80, were also prepared. All samples were grinded
to a particle size of )100 lm.
2.2. Thermogravimetric analysis
The experimental system used was a TGA/DTG
Perkin–Elmer thermobalance (precision of temperature
measurement ±2 �C, microbalance sensitivity <5 lg),with which the sample weight loss and rate of weight
loss as functions of time or temperature were recorded
continuously, under dynamic conditions, in the range
25–850 �C. The experiments were carried out at atmo-spheric pressure, under nitrogen/air atmosphere, with a
flow rate of 45 ml/min, at linear heating rates of 20 and
100 �C/min. Preliminary tests with different sample
masses and sizes and gas flow rates were carried out, in
order to check the influence of heat and mass transfer.
Small masses (20–25 mg) of each material, thinly dis-
tributed in the crucible and particle sizes of )100 lmwere found proper to be used in the experiments, inorder to eliminate the effects of eventual side reactions
and mass and heat transfer limitations.
The experimental procedure for obtaining a typical
thermogram was as follows: the sample under test was
uniformly spread and weighed directly into the crucible.
After flushing with nitrogen, the temperature was in-
creased to 110 �C in order to dry the sample. After a
drying period of 30 min, the temperature was increasedto the desired value of 850 �C at the pre-selected heating
Table 1
Proximate analysis, ultimate analysis and calorific values of coal samples, on
Sample Volatile
matter (%)
Fixed carbon
(%)
Ash (%) C (%)
Ptolemais lignite 45.19 25.95 28.86 40.60
Vevi xylite 55.39 38.65 5.96 57.10
rate and held constant at this value, until steady con-
ditions were obtained. The furnace was then cooled
down to ambient temperature, the nitrogen stream was
switched to air at a flow rate of 45 ml/min and thetemperature was again increased to 850 �C, until the
coal mass was completely burned.
The experiments were replicated at least twice to de-
termine their reproducibility, which was found to be
very good.
3. Kinetic model
The pyrolysis process was described by the in-
dependent parallel first-order reactions’ model [5,10–13].
According to this model, the decomposition of coal is
described by a number of independent parallel reactions.
The overall rate of conversion for N reactions and the
thermal decomposition of the individual components
can be expressed as:
� dmdt
¼X
i
cidaidt
i ¼ 1; 2; 3; . . . ;N ð1Þ
daidt
¼ Ai expð�Ei=RT Þð1� aiÞ ð2Þ
where:
dm=dtmass loss rate
i component
ai conversion rate
ci contribution of the partial process to the overall
mass loss, m0 � mchar
Ai pre-exponential factor
Ei activation energyR gas constant
T temperature
The model equations and the variation coefficient are
reported in detail by Gronli et al. [13].
Combustion of the coal chars was described by a
power law model. To include the char heterogeneity into
the model, it was assumed that a coal char sample couldbe a mixture of components with different reactivities
[11]:
mðtÞ ¼Xn
j¼1
cj½1� ajðtÞ� þ m1 ðmð0Þ ¼ 1Þ ð3Þ
a dry basis
H (%) N (%) O (%) S (%) HHV
(MJ/kg)
4.11 1.57 24.02 0.84 14.9
5.36 0.94 29.78 0.86 22.7
D. Vamvuka et al. / Carbon 42 (2004) 351–359 353
where, m is the sample mass normalized by the initial
sample mass, n is the number of components, cj is the
fraction of combustibles in component j, ajðtÞ is the
reacted fraction of component j in time t and m1 isthe normalized amount of the solid residues (minerals)
at the end of the experiment.
A separate equation was used for each component to
describe the dependence of the reaction rate on the
temperature and fractional burn-off:
dajdt
¼ Aj expð�Ej=RT ÞgðPO2Þf ðajÞ ð4Þ
where, Aj is the pre-exponential factor of component j,Ej is the activation energy of component j, g expresses
the effect of ambient gas composition and f describes
the change of surface reactivity as a function of the
fractional burn-off.
As the function gðPO2Þ represented the partial pres-
sure of oxygen in air, its value was included into the
pre-exponential factor, while the f ðajÞ function wasdescribed by:
dajdt
¼ ð1� ajÞnj ð5Þ
where nj is the reaction order.
4. Results and discussion
4.1. Thermal decomposition characteristics
A comparison between the DTG pyrolysis and com-
bustion curves of the coals, obtained at a heating rate of
20 �C/min, is illustrated in Fig. 1. As can be seen, the
bulk of the volatiles was released between 350 and 500�C. Both samples present two overlapping peaks in this
temperature region. On the other hand, the bulk of the
burning process occurred mainly between 450 and 600
�C. Lignite shows a bimodal combination of chars with
differing reactivity, in this temperature region, whereas
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
110 210 310 410 51
Temperature [
-d(m
/mo)/
dt
[1/m
in]
xylite (pyrolysis)
xylite (combustion)
lignite (combustion)
lignite (pyrolysis)
Fig. 1. DTG profiles of coal samp
xylite shows one single broad peak. The peak of lignite
occurring at temperatures higher than 700 �C is con-
sistent with the decomposition of calcium carbonate, as
shown in a previous work by the author [14]. Takinginto consideration that the peak height can provide a
relative measure of the reactivity, the xylite seemed to be
more reactive, as its decomposition rates were 2–3 times
higher than those corresponding to the lignite.
Heating rate may affect the devolatilization and
burnout processes. An increase of the heating rate from
20 to 100 �C/min led to the evolution of slightly higher
yields of total volatiles and therefore lower yields ofchar. Also, a higher heating rate of 100 �C/min increased
the reaction rates by an order of magnitude and shifted
the reactions towards much higher temperatures. This
shift was more pronounced in air (Fig. 2) and has been
assigned by several authors [4,15] as being due to the
combined effects of the heat transfer and the kinetics of
the decomposition.
The behavior of lignite/xylite blends was studiedunder the same experimental conditions. Maximum
pyrolysis and char combustion rates, as well as peak
temperatures for blending ratios 0:100, 20:80, 40:60,
80:20 and 100:0 are compared in Table 2. It can be
observed that when a blend in any proportion of xylite
to lignite was pyrolysed, an increase in maximum rate
and a shift in peak temperature towards that of xylite,
with the increase in its content of the sample was ob-served.
Furthermore, from Fig. 3, which represents the
burning profiles of lignite/xylite mixtures, it can be seen
that in the region of primary combustion the bimodal
combination of lignite char and the broad peak of xylite
char produced one single large peak, representing a
more homogeneous char. The maximum combustion
rate of the blends was increased and it was higher thanthat corresponding to the pyrolysis process, while the
maximum peak temperature was shifted as before to-
wards that of xylite. Therefore, it seems that some in-
teraction between lignite and xylite occurred, which
0 610 710 810oC]
0
0.02
0.04
0.06
0.08
0.1
-d(m
/mo)/
dt
[1/m
in]
les (heating rate 20 �C/min).
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
240 340 440 540 640 740 840
Temperature [oC]
-d(m
/mo)/
dt
[1/m
in]
0
0.04
0.08
0.12
0.16
0.2
-d(m
/mo)/
dt
[1/m
in]
100 °C/min(pyrolysis)
20°C/min (combustion) 100°C/min (combustion)
20°C/min (pyrolysis)
Fig. 2. Effect of heating rate on DTG profiles of Ptolemais lignite char, in air.
Table 2
Devolatilization and combustion characteristics of Ptolemais lignite/xylite blends (heating rate: 20 �C/min)
Sample Blending ratio Max decomposition
rate· 102 (min�1)
Temperature at max
decomposition rate
(�C)
Volatiles content (%
dry)
Char content (% dry)
Devolatilization
Vevi xylite/Ptole-
mais lignite
0:100 2.05 443 43.8 56.2
20:80 3.02 396 45.4 54.6
40:60 4.08 397 47.4 52.6
60:40 4.66 394 49.9 50.1
80:20 5.38 392 51.3 48.7
100:0 6.34 394 54.8 45.2
Char conversion up to 650 �C (%
dry)
Char combustion
Vevi xylite/Ptole-
mais lignite
0:100 4.93 460 85.3
20:80 5.43 519 89.3
40:60 6.07 518 93.2
60:40 7.19 518 95.3
80:20 7.90 534 96.9
100:0 9.05 522 99.4
354 D. Vamvuka et al. / Carbon 42 (2004) 351–359
increased the reactivity of the blends, due to the different
structure, petrographic and ash compositions of the
component coals.
As Fig. 4 shows, the huminitic subgroup of the two
coals is made up of different components. The lignite is
made of highly mashed and finely chopped organic
matter derived from marsh reeds, as it contains a high
percentage of humodetrinite, which is combusted atlower temperatures. On the other hand, the xylite is
made of lignin encountered in coniferous trees and when
resinite, a highly flammable material at low tempera-
tures, is absent from humotelinite, it is combusted at
higher temperatures [16]. Furthermore, low temperature
ashing and X-ray-diffraction ash analyses of Ptolemais
lignite and Vevi xylite samples [17] revealed that the
lignite was richer in 2:1 mixed layered silicates (whichhave larger surface area and could probably contribute
to the lowering of the combustion temperature), calcium
bearing minerals and quartz. In order to understand
better the effects of petrographic and ash compositions
during combustion, some more tests were undertaken.
Thus, the materials were acid washed to remove the
inorganics and then tested by thermogravimetric ana-
lysis, under the same experimental conditions. The
procedure of acid washing is described in detail else-where [14,18]. The results showed that the presence of
minerals increased the reactivity of the chars in air, by
lowering their peak combustion temperature. On the
other hand, as illustrated in Fig. 5, it can be seen that
even if the two coals were demineralized, the peak
temperature of their blend was very close to that of
xylite. Also, the calculated DTG curve for the blend (by
Eq. (6)) resembles the experimental one. Therefore, itseems that the different petrography and to a greater
Fig. 4. Plate 1: photomicrographs of matrix type brown coal, Pliocene age, of Ptolemais basin, Macedonia, north western Greece. Incident light, oil
immersion objectives. (a) Texto-ulminite (TU) associated with densinite (D). White light, 500·. (b) Highly fluoresent suberinite (Su) infilled with
corpohuminite (C). Blue light, 500·. Plate 2: photomicrographs of xylite type brown coals, Miocene age, of Florina basin, Macedonia, north western
Greece. Incident light, oil immersion objectives. (a) Longitudinal tangential section of textinite A. White light, 200·. (b) Texto-ulminite B with well
preserved cell lumen (Ce). White light 200·.
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0.1
250 350 450 550 650 750 850
Temperature [oC]
-d(m
/mo)/
dt
[1/m
in]
80% xylite
60% xylite
40% xylite
20% xylite
lignite
xylite
Fig. 3. DTG char burning profiles of lignite/xylite blends (heating rate 20 �C/min).
D. Vamvuka et al. / Carbon 42 (2004) 351–359 355
extent the different mineral matter content and compo-
sition of the component coals (xylite had a much lower
amount of mineral matter than lignite) affected the
combustion behavior of their blend. Similar interactions
between the components of the individual coals in
blends have been reported by other investigators [1,19].
4.2. Kinetics
The pyrolysis process was modeled by lumping the
numerous reactions into 3–5 first-order parallel reac-
tions, while the combustion process was described by a
power law model, adjusted to include char hetero-
geneity. From Fig. 6, which compares experimental and
calculated pyrolysis profiles of lignite, it can be observed
that the agreement between model predictions and ex-
perimental measurements is very good, with a deviaton
value of 1.98%. The best fit parameters estimated by the
model are tabulated in Table 3. It is clear that deviation
values for pyrolysis were below 2% and for combustionbelow 4%. In the region of primary devolatilization,
200–600 �C, (for heating rate 20 �C/min) the estimated
energy values of lignite vary between 19 and 107 kJ/mol.
However, those of xylite are higher (54–182 kJ/mol), as
the bulk of the devolatilization process occurred below
500 �C, in this case. In the case of char combustion, the
activation energies change in the range of 97–154 kJ/mol
between the two chars and the order of the reactions
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
250 350 450 550 650 750 850
Temperature [oC]
-d(m
/(m
o-m
ash))
/dt
[1/m
in]
demineralized xylite
demineralized lignite
demineralized blend ofxylite-lignite(60%-40%)experimental
demineralized blend ofxylite-lignite(60%-40%)calculated
Fig. 5. DTG char burning profiles of raw and demineralized samples (heating rate 20 �C/min).
0
0.01
0.02
0.03
0.04
0.05
0.06
200 300 400 500 600 700 800
Temperature [oC]
-d(m
/mo)/
dt
[1/m
in]
reaction 1
reaction 2
reaction 3
calculated
experimental
Fig. 6. Kinetic evaluation of Ptolemais lignite in nitrogen (heating rate 20 �C/min).
356 D. Vamvuka et al. / Carbon 42 (2004) 351–359
describing the combustion process varies between 0.75
and 2. These data are in accordance with those given in
the literature [2,4,5,11,20] and suggest that both pro-
cesses were chemically controlled.
The kinetic parameters obtained by the model at a
higher heating rate are also included in Table 3, for
comparison. As expected, the process becomes succes-
sively faster as the heating rate is increased and it waspreviously shown that the peaks attained by the rate of
weight loss were higher. This is a consequence of the
increase in the average reaction temperature. It can be
seen from the table that pre-exponential factors and
activation energies are similar between the chars tested
under low and high heating rates, revealing the absence
of heat transfer effects. Also, it can be observed that in
all cases the parameter n became higher when theheating rate was raised and took the value of 2.
In order to investigate whether the kinetics of the
blends could be predicted from the kinetic parameters
obtained for the isolated compounds, theoretical DTG
curves, representing the sum of the individual compo-
nents’ behavior in the mixture, were calculated:
ðdm=dtÞsum ¼ x1ðdm=dtÞlignite þ x2ðdm=dtÞxylite ð6Þ
where ðdm=dtÞlignite, ðdm=dtÞxylite are the normalized rates
of mass loss, as found from the individual experiments
and x1, x2 are the mass fractions of lignite and xylite in
the mixture, respectively.
Fig. 7, being representative among the samples,shows that the fit between experimental and calculated
DTG pyrolysis curves for xylite blends is very good,
with deviation values below 2%. Therefore, it seems that
no significant interactions occurred in the solid phase
during devolatilization and a cumulative model was
proposed, involving eight independent parallel reac-
tions, which are the sum of the reactions representing
the decomposition of each coal sample. However, Fig. 8shows that by a simple summation of the burning pro-
files of the component coal chars the fit between ex-
perimental and calculated DTG curves was not so good,
with deviation values ranging between 8.8% and 14.5%.
Similar fits were obtained for all mixtures. In order to
determine to which extent this non-additivity of the DTG
curves complicates the prediction of the combustion
Table 3
Calculated kinetic parameters for pyrolysis and char combustion (deviation (%)¼ 100{ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiO:F:ðz� NÞ
p=maxð�dm=dtÞexp}, where z is the number of data points and N is the number of parameters)
Reaction Atmosphere Heating rate (�C/min)
Sample
Ptolemais lignite Vevi xylite
Kinetic parametersa Kinetic parametersb
A (min�1, pyr.),
(min�1 MPa�1,
com.)
E (kJ/mole) c (%) n A (min�1, pyr.), (min�1 MPa�1,
com.)
E (kJ/mole) c (%) n
1 Nitrogen 20 1.5 · 103 47.7 12.2 1.7 · 1014 181.5 15.9
100 5.5 · 103 53.9 21.1 8.7 · 1014 180.9 9.0
Air 20 1.2 · 109 150.6 50.2 2 1.2 · 109 154.3 39.3 2
100 1.2 · 109 146.4 21.1 2 1.2 · 109 144.1 14.9 2
2 Nitrogen 20 2.6 19.1 60.9 3.4 · 103 53.6 37.1
100 2.4 · 101 25.8 45.5 1.2 · 105 63.1 42.7
Air 20 2.7 · 106 130.9 35.1 0.75 7.7 · 103 96.5 60.7 0.8
100 2.7 · 106 130.7 37.2 2 2.7 · 106 127.4 26.6 2
3 Nitrogen 20 1.8 · 107 107.0 5.1 2.8 23.1 47.0
100 1.8 · 107 109.1 2.2 2.8 23.1 47.0
Air 20
100 7.8 · 102 91.3 58.5 2
4 Nitrogen 20 5.3 · 1020 398.1 9.9
100 9.4 · 1015 318.6 7.2
Air 20
100
5 Nitrogen 20 1.8 · 105 119.9 11.9
100 1.8 · 105 121.0 24.0
Air 20
100
aNitrogen: at 20 �C/min dev¼ 1.98%; at 100 �C/min dev¼ 1.17%. Air: at 20 �C/min dev¼ 3.6%; at 100 �C/min dev¼ 2.9%.bNitrogen: at 20 �C/min dev¼ 0.96%; at 100 �C/min dev¼ 1.59%. Air: at 20 �C/min dev¼ 3.5%; at 100 �C/min dev¼ 3.8%.
D.Vamvukaet
al./Carbon42(2004)351–359
357
0
0.1
0.2
0.3
0.4
0.5
0.6
140 240 340 440 540 640 740 840
Temperature [oC]
-d(m
/mo)/
dt[
10-1
/min
]
20% lignite
80% xylite
blend calculated
blend experimental
Fig. 7. Additivity of DTG pyrolysis curves for lignite/xylite blends (heating rate 20 �C/min).
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
200 300 400 500 600 700 800
Temperature [oC]
-d(m
/mo)/
dt
[1/m
in]
60% lignite
40% xylite
blend calculated
blend experimental
Fig. 8. Additivity of char burning profiles for lignite/xylite blends (heating rate 20 �C/min).
358 D. Vamvuka et al. / Carbon 42 (2004) 351–359
reactivity of the blends, the power law model, previously
described, was also used to model the kinetics of the
mixtures. Some of the calculated results, at a blending
ratio of lignite to xylite 40:60 are represented in Table 4.As can be observed, the calculated values of the kinetic
parameters A, E and n for the blends were closer to the
values corresponding to xylite only. This information
will be useful for the co-firing of these low-rank coals. It
appears that although the devolatilization of the mixture
is sufficiently predicted by a simple summation of the
individual behavior of its components, in the case of
char combustion some interactions between the in-
Table 4
Calculated kinetic parameters for the combustion of coal char blends
at a blending ratio 60:40. (heating rate: 20 �C/min)
Reaction Vevi xylite/Ptolemais lignite
Kinetic parametersa
A (min1 MPa�1) E (kJ/mole) c (%) n
1 2.0 · 109 156.9 38.7 2
2 9.8 · 103 96.9 61.3 0.7
aDev¼ 3.9%.
dividual fuels occur. These interactions complicate the
prediction of the combustion behavior of blends and as
they influence combustion rates and heat-release, the
whole design of the boilers will be affected.
5. Conclusions
The thermochemical reactivity of xylite was higher
than that of lignite, in both nitrogen and air atmo-
spheres. When blending lignite with xylite, the max-
imum rate was increased and the maximum peak
temperature was shifted towards that of xylite, with the
increase in its content of the mixture.
A first-order parallel reactions model and a power
law model, adjusted to include char heterogeneity, fittedthe experimental results with great accuracy, for devo-
latilization and combustion, respectively. In the case of
devolatilization, the kinetic parameters of the blends
could be predicted accurately from those of the in-
dividual fuels, whereas this was not true in the case of
char combustion. It seems that some interaction be-
tween the component coals occurred, due to their dif-
D. Vamvuka et al. / Carbon 42 (2004) 351–359 359
ferent chemical compositions, which may complicate the
co-firing process.
A higher heating rate increased the reaction rates by
an order of magnitude and shifted the reactions towardsmuch higher temperatures. Activation energy values did
not change considerably.
Acknowledgement
The authors would like to thank Prof. A. Foscolos
for his contribution to this work.
References
[1] Carpenter AM. Coal blending for power stations. London: IEA
Coal Research; 1995.
[2] L�azaro MJ, Moliner R, Suelves I. J Anal Appl Pyrol 1998;47:111.
[3] Vamvuka D, Woodburn ET. Int J Energy Res 1998;22:657.
[4] Russell NV, Beeley TJ, Man CK, Gibbins JR, Williamson. J Fuel
Process Technol 1998;57:113.
[5] Ceylan K, Karaca H, €Onal Y. Fuel 1999;78:1109.
[6] G€uldo�gan T, Durusoy T, Bozdemir TO. Thermochim Acta
1999;332:75.
[7] Ozbas KE, Hicyilmaz C, K€ok MV, Bilgen S. Fuel Process Technol
2000;64:211.
[8] Nugroho YS, McIntosh AC, Gibbs BM. Fuel 2000;79:1951.
[9] Stenseng M, Zolin A, Cenni R, Frandsen F, Jensen A, Dam-
Johansen K. J Therm Anal Calorim 2001;64:1325.
[10] Misra MK, Essenhigh RH. Energy Fuel 1988;2:371.
[11] V�arhegyi G, Szab�o P, Jakab E, Till F. Energy Fuel 1996;10:1208.
[12] Reyes JA, Conesa JA, Marcilla A. J Anal Appl Pyrol 2001;58–
59:747.
[13] Gronli M, Antal Jr MJ, Varhegyi G. Ind Eng Chem Res
1999;38:2238.
[14] Vamvuka D, Kastanaki E, Lasithiotakis M. Ind Eng Chem Res
2003;42:4732.
[15] Arenillas A, Rubiera F, Pevida C, Pis JJ. J Anal Appl Pyrol
2001;58–59:685.
[16] Papanicolaou C, Dehmer J, Fowler M. Int J Coal Geol
2000;44:267.
[17] Foscolos AE, Goodarzi F, Koukouzas CN, Hatziyannis C. Chem
Geol 1989;76:107.
[18] Vamvuka D, Kastanaki E, Grammelis P, Kakaras E. Fuel
2003;82:1949.
[19] Qiu J, Guo J, Zeng H, Ma Y. In: Conference Proceedings, 7th
International Conference on Coal Science, Canada, vol. 2, 1993.
[20] Wiktorsson LP, Wanzl W. Fuel 2000;79:701.