Zehua Li1,2, Renjie Zou1, Yang Xu3, Liang Cao1, Guangqian Luo1, Hong Yao1. 1. State Key Laboratory of Coal Combustion, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China. 2. Department of Inorganic Chemistry, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin 14195, Germany. 3. Environment Research Institute, Shandong University, Qingdao 266237, China.
Abstract
We self-design a micro fluidized bed reactor (MFB) with combination of an online char particle sampling system to study the kinetics of coal char combustion and gasification. The system mainly contains two parts: a micro fluidized bed and vacuum online sampling. Vientiane coal was continuously sampled from the MFB. Both combustion and gasification reactivities of the sampled chars were tested in a thermogravimetric analyzer. Kinetic parameters of the sampled char were analyzed. Char reactivity in oxy-fuel combustion in the MFB obeys the rule of decrease-increase-decrease behavior with the sampling time. Pre-exponential factor A and activation energy E of the sampled char increase with the sampling time. The gasification reactivity of the sampled char increases with the sampling time even though there is a minor decrease in an initial gasification stage. The new designed MFB combining with the online sampling system will pave the path for the investigation of gas-solid reaction evolution in the future.
We self-design a micro fluidized bed reactor (MFB) with combination of an online char particle sampling system to study the kinetics of coal char combustion and gasification. The system mainly contains two parts: a micro fluidized bed and vacuum online sampling. Vientiane coal was continuously sampled from the MFB. Both combustion and gasification reactivities of the sampled chars were tested in a thermogravimetric analyzer. Kinetic parameters of the sampled char were analyzed. Char reactivity in oxy-fuel combustion in the MFB obeys the rule of decrease-increase-decrease behavior with the sampling time. Pre-exponential factor A and activation energy E of the sampled char increase with the sampling time. The gasification reactivity of the sampled char increases with the sampling time even though there is a minor decrease in an initial gasification stage. The new designed MFB combining with the online sampling system will pave the path for the investigation of gas-solid reaction evolution in the future.
Oxy-fuel combustion has
many advantages over conventional air combustion.[1,2] In
oxy-fuel combustion, O2 is usually separated from
air and mixed with the recycled flue gas in a power plant. CO2 can reach as high as 95% in the flue gas, which makes CO2 capture easier. The cyclic flue gas contains high concentration
of CO2, which is therefore compressed and stored underground.
Oxy-fuel combustion has a good CO2 capture efficiency comparing
to other technologies such as absorbing CO2 by solid sorbents.[3−5] As a result, good economic benefits can be realized in oxy-fuel
combustion.[6]Char structure evolution
during combustion or gasification has
been investigated by many researchers in recent years.[7−15] Char morphology and structure, i.e., size, thickness, porosity,
and functional groups, have significant effects on char reactivity,[13−15] as well as other applications.[16−18]Char is usually
generated from a short pyrolysis stage in a boiler
followed by combustion or gasification. Char morphology in the pyrolysis
stage has been reported in our previous report[12] and hence not discussed in this study. This study investigates
char morphology evolution and its impact on reactivity in the combustion
and gasification stage.During combustion, it was reported that
char density and size gradually
decrease,[19,20] while the char surface area increases due
to the formation of a large amount of meso- and micropores.[19] However, in Liu’s calculation,[20] the specific surface area shows different rules
during combustion, where it either first increases to a maximum and
then decreases or only decreases to the end of the combustion. Apart
from physical structure evolution, a preferential loss of functional
groups may affect char reactivity.[21] It
is reported that char combustion reactivity decreases with the proceeding
of the combustion, which is due to the loss of the intrinsic reactivity[19] as well as the functional groups like a carbonaceous
matrix.[21]During gasification, the
char surface area decreased rapidly and
then was kept constant. The degree of char graphitization gradually
increased during gasification by in situ Raman spectroscopy,[22,23] which may result in the decrease in the char reactivity.However,
the char structure and reactivity evolutions during coal
combustion or gasification are mostly investigated in a fixed bed
or a drop furnace in the previous literature. A fixed bed reactor
has disadvantages of oxygen diffusion limitation and temperature deviation
for gas–solid reaction measurements. A drop furnace is usually
used to measure rapid reactions at high temperature. The disadvantages
of the drop furnace are that it is hard to measure a nonrapid gas
solid reaction and to realize an isothermal environment due to significant
reduction in radiation heat transfer at low temperature. Hence, it
is a good choice to measure char structure and reactivity evolutions
in an MFB reactor.The MFB has the advantage of mass and heat
transfer for isothermal
reactions and has been applied to investigate the kinetic study of
gas–solid reactions. We have previously used an MFB to determine
coal char combustion[24−26] and gasification[27,28] as well as
petroleum coke gasification,[29] which shows
good reliability. Zhao et al. used an MFB to determine steam gasification
of in situ char.[30,31] Xu et al.
used an MFB to measure several kinds of gas–solid reactions.[32,33] All these studies show very good reliability of the MFB for investigating
gas–solid reactions.In this study, we propose to use
the MFB reactor combining with
a continuous sampling system to investigate coal char reactivity evolution
during combustion and gasification. Kinetic evolution is determined
by an isothermal method. This study will pave the path for online
sampling in the MFB for gas–solid reactions in the future.
Materials and Methods
Sample Preparation
A Vientiane coal
sample was selected in this study. Raw coal was ground and sieved
to a diameter of 75–100 μm. We have investigated the
effect of char diameter on char conversion in such MFBs in our previous
study[24] and found that the carbon conversion
rate did not increase with decreasing the particle size below 100
μm, indicating that the internal diffusion limitation could
be disregarded when the particle size was less than 100 μm.Later, coal samples were put into the oven and dried at 378 K for
1 hour. The proximate and ultimate analysis are shown in our previous
studies.[12,26]
Vacuum Online Sampling
In the MFB
reactor, we could measure the char reactivity by detecting the outlet
gas by gas chromatography (GC) and/or mass spectrometry (MS). Char
reactivity identified from outlet gas measurement is the overall average
reactivity, which cannot represent immediate reactivity during the
reactions. Then, the question is how we can measure the immediate
reactivity. Sampling a char out of the MFB reactor by an online solid
particle sampling system and directly measuring its reactivity can
be a good choice. To the best of our knowledge, the idea of combining
the MFB with an online solid particle sampling system is first reported
in this study.We self-developed an MFB with combination of
an online char particle sampling system to study coal char combustion
and gasification. The schematic diagram of the experiment apparatus
is shown in Figure , which mainly contains two parts: (left) a micro fluidized bed and
(right) vacuum online sampling. The reactor in the MFB is in a dimension
of 25 mm in inner diameter and 180 mm in height. Two wind boards with
a distance of 50 mm in between are placed in the middle of the reactor
in which char combustion takes place. The vacuum online sampling system
mainly consists of a sampling tube, vacuum box, and vacuum pump. A
thermocouple was placed in the sampling tube (not shown in Figure ) to measure the
temperature at the sampling point in the MFB. The vacuum box is in
a dimension of 50 × 30 × 20 cm. The inner diameter of the
sampling tube is 3 mm.
Figure 1
Schematic diagram of integration of the MFB and online
sampling
system.
Schematic diagram of integration of the MFB and online
sampling
system.Sampling tube is inserted to the
fluidized zone in the MFB. All
valves were closed, and the sampling box was vacuumed to the pressure
as lowest as 0.09 MPa within 10 s before starting online char sampling.
Char particles were sampled at different reaction times to different
bottles located in the sampling box by opening the corresponding valve.
Once sampling was finished, a flow of cold Ar was injected to the
sampling tube and sampling bottle to cool the sampled char. The cooled
char was then collected for further analysis.There are some
other techniques solving the immediate reactivity
during the reaction. For instance, a spatially resolved reactor was
designed to solve intermediate reactions, catalyst structure evolutions,
and subkinetic parameters from different parts along the axial in
the sample bed.[34−36] In this technique, the reactor involves reactants
flowing through a solid catalyst bed containing a sampling capillary
with a side sampling orifice, where a very small amount of in situ gas is sampled and transferred into an analytical
device (GC/MS) for quantitative analysis. The sampling capillary can
be moved with μm resolution in or against the flow direction
to measure species profiles through the catalyst bed. Some other researches
propose to solve immediate species and structures by a so-called spatially
resolved infrared radiation (IR) surface analysis by continuously
moving a fixed bed.[37] However, all these
techniques are measured from the fixed bed and have their own disadvantages.
Experimental Procedure
Raw coal was
first pyrolyzed in a fixed reactor at 1173 K in an Ar atmosphere for
4 h to deeply remove the volatile. The pyrolysis experimental setting
can be found in our previous study.[12]For combustion in the MFB, the temperature was set to 823 K. A stream
with 125 mL/min O2 and 375 mL/min CO2 was injected
to the reactor. The sampling box was vacuumed to 0.09 MPa. The char
sample (1 g) was then fed to the MFB by a programmable logical controller
(PLC)-controlled Ar pulse after stabilization of temperature and flow
stream. Open electromagnetic valve to start sampling at 0.5, 2.5,
5.5 and 10 min, respectively. The sampled char was collected (10–20
mg) and cooled down in the sample bottles, which were placed in the
vacuum box. Sampled char surface morphology was measured by field
emission scanning electron microscopy (FESEM) with a resolution of
0.8 nm (GeminiSEM 300).Generally, it is better to use a milligram
char sample in kinetic
studies in the MFB. However, we have to sample the char particles
as enough as possible out of the MFB at different reaction stages
to further determine their kinetic parameters in a thermogravimetric
analyzer (TGA). We have tried the experiments with the char sample
of milligrams, and few char particles were sampled out and not enough
to measure the kinetics in the later thermogravimetric (TG) experiment.
Comparing with char sample in milligrams, we do not think the char
sample mass (1 g) will affect the properties of the char because our
char particles are totally fluidized in the MFB.For gasification
in the MFB, the temperature was set to 1123 K.
Gasification is an endothermic reaction. It requires heat to start
up and a long time to operate the gasification furnace in industrial
application. The heat could be from the combustion reaction with supplying
of low concentration of O2 (char–O2 reaction).
Although in an experimental scale we electrically heat the reactor,
we still add a low concentration (5%) of O2 to the reaction
atmosphere to simulate the case in industrial application. In this
way, we still call it gasification. Experimentally, a stream with
25 mL/min O2, 300 mL/min CO2, and 175 mL/min
steam was injected to the reactor. The sampling times selected were
0.5, 1.0, 1.5, and 2.0 min. Other experimental settings are the same
with the combustion experiment.
Kinetic
Determination
The reactivity
of sampled char from combustion in the MFB was determined in a TGA
(STA 449 F3) at 773, 823, and 873 K in an O2/Ar atmosphere
(21 mL/min O2, 79 mL/min Ar). TGA temperature was first
increased to the target temperature at a rate of 10 K/min in an Ar
atmosphere. The atmosphere was then shifted to O2/Ar after
temperature stabilization. In each measurement, the mass of the sampled
char was 5 mg. The mass loss was continuously recorded.The
reactivity of sampled char from gasification in the MFB was determined
in the same TGA at 1273 K but with a vapor furnace reactor. Temperature
was set from 423 to 1273 K at a heating rate of 20 K/min in an N2 atmosphere. Then, a stream of mixed CO2, steam
and N2 with varied concentrations was injected to the reactor.Kinetic determination of char oxidation (combustion and gasification)
can be found in our previous study.[12,26,38] The char conversion X is calculated
by the weight loss data as eq :where m0, mt, and m∞ represent the initial
mass of char sample, mass of
the sample at reaction time t, and mass of the sample
when the reaction was finished, respectively.In this study,
the reactivity index Rs (min–1) was defined as eq to evaluate the overall char reactivity.[29,39]t0.5 is the time required to reach the
char conversion of 50%.The reaction rate constant k can be calculated
as follows:where f(X) is the reaction model function. The integral
format of f(X) can be described as eq :Therefore, the reaction rate
constant can be calculated because there is a linear relationship
between G(X) and t in the isothermal
experiments. The reaction rate constant k is the
slope of the fitting straight line.If the main intention for
studying coal reactivity is just to describe
the relation between time and conversion, a shrinking core model is
preferred.[40] The shrinking core model fits
the results well from our previous work[12,38] and other
researcher’s publications.[41,42] The shrinking
core model (eq ) is
selected as the mechanism function model in this study because of
its mathematical simplicity, and the conversion time behavior is well
described.As a comparison, the other two models, nucleation and growth
model
and two-dimensional diffusion model, are calculated from G(X) expressed as eqs and 7, respectively.After the calculation of reaction rate constant k under different temperatures, the following eq is then straight forward according
to the
Arrhenius equation:The plot (ln k, 1/T) fits on
a straight line. The activation energy −E/R and pre-exponential factor ln A are the
slope and the intercept, respectively.
Results
and Discussion
Online Sampling Char Morphology
Surface
morphologies of the sampled char at different times are shown in Figure . On the original
char surface, there are few fissures and micropores but they are not
obvious (Figure a),
which is perhaps due to the long-time pyrolysis at high temperature
in the fixed bed to deeply remove the volatile content from raw coal.
High temperature could result in a slight sintering. In the early
combustion stage, there are some micropores and small char particles
on the surface of the sampled char at 0.5 min (Figure b). In this stage, char was heated from room
temperature to experimental high temperature (823 K) in an O2/CO2 atmosphere. Both heating and oxidant could make char
particle active, and active sites on char surface were first consumed
in the short reaction time. In the middle combustion stage, macropore
occurs, and char pores become much developed (pore enlargement) with
char combustion proceeding at 2.5 and 5.5 min (Figure c,d). In this stage, O2/CO2 further diffused into the internal of the char particle,
and most of carbon was consumed, which resulted in the pore enlargement.
The middle combustion stage takes about 50–70% of the whole
combustion process, and the reaction rate is much stable,[12] which is the best stage to determine char kinetic
parameters. Details will be discussed in later sections. In the late
combustion stage, macropore breaks and collapses on the surface of
the sampled char at 10 min, where most of carbon was consumed and
coal ash left (Figure e). In this stage, coal ash blocked oxidant diffusion especially
when coal ash melt, which resulted in the decrease of combustion rate.
Figure 2
FSEM images
of the online sampled char morphology: (a) original
char, (b) 0.5, (c) 2.5, (d) 5.5, and (e) 10 min.
FSEM images
of the online sampled char morphology: (a) original
char, (b) 0.5, (c) 2.5, (d) 5.5, and (e) 10 min.
Char Combustion Reactivity
The combustion
reactivity of the online sampled chars was measured in a TGA. Typical
TG curves are shown in Figure from which the carbon conversion in the MFB is calculated.
The total carbon in the original char is calculated from Δmoriginal = m0 – m∞, and the resident carbon in the sampled
char is Δmt = m0 – m∞. m0 and m∞ represent
the initial and final sample mass in TGA, respectively. Therefore,
the carbon conversion of the sampled char in the MFB could be calculated
as , and the final conversions of
the sampled
char are shown in Figure . The carbon conversion is from 1.4 to 65.3% for the sampled
char from sampling time of 0.5 to 10 min.
Figure 3
Carbon conversion in
the MFB at different sampling times.
Carbon conversion in
the MFB at different sampling times.Char conversion (X) and reaction rate (dX/dt) versus oxidation time are shown in Figure . Char conversion
rate is enhanced with increasing temperature. For example, it takes
about 12 min to finish combustion at 773 K, while only 5 min is required
at 873 K. Further, we can see that the conversion rate of the sampled
char shows nonmonotonic behaviors with the sampling time. This is
the main finding in our study, which will be discussed in more detail
in later sections.
Figure 4
Combustion conversion of the sampled char at different
temperatures:
(a) 773, (b) 823, and (c) 873 K.
Combustion conversion of the sampled char at different
temperatures:
(a) 773, (b) 823, and (c) 873 K.Figure shows the
reaction rate of different sampled chars. Obviously, char has different
reaction rates in different combustion stages (reaction time) with
an increase–stable–decrease feature. In early combustion
stage (i.e., carbon conversion rate <10%), the reaction rate decreases
from the original char (square) to 0.5 min sampling char (circle).
In the middle combustion stage (i.e., carbon conversion rate 10–60%),
it increases from 0.5 min sampling char to 5.5 min sampling char (down
triangle). In the late combustion stage (i.e., carbon conversion rate
>60%), it decreases from 5.5 min sampling char to 10 min sampling
char (diamond). Sampled char reactivity is sensitive to measuring
temperature in TG, where sampled char at 5.5 min shows at the highest
reaction rate at 823 and 873 K.
Figure 5
Combustion reaction rate of the sampled
char at different temperatures:
(a) 773, (b) 823, and (c) 873 K.
Combustion reaction rate of the sampled
char at different temperatures:
(a) 773, (b) 823, and (c) 873 K.Reaction rate curves in Figure show the information for the whole conversion range
from 0 to 100%, while reaction index Rs shows the overall average char reactivity as shown in Figure . Similarly, it also shows
that char reactivity obeys the rule of decrease–increase–decrease
behavior along with the sampling time.
Figure 6
Reactivity index Rs of the sampled
char at different temperatures: (a) 773, (b) 823, and (c) 873 K.
Reactivity index Rs of the sampled
char at different temperatures: (a) 773, (b) 823, and (c) 873 K..For the original char, the carbon structure
is much disordered
from a Raman spectrometer, which will be detailedly presented in our
further report. Although there are some small pore openings in the
0.5 min sampling char (Figure b), char quickly tends to ordered from original char to 0.5
min sampling char in the early combustion stage. Therefore, the reactivity
of 0.5 min sampling char is lower than original char (Figure ). However, the disordered
char structure will not dominate in later combustion. The pore structure
and carbon matrix will dominate in the middle combustion stage, while
the ash component will dominate in the late combustion stage. With
pores developing from 0.5 to 5.5 min (Figure b–d), both reaction contact area and
carbon active sites increase, leading to the increase in char reactivity
(Figure ). However,
at the late combustion stage, pore structure collapses, and the ash
component blocks the pore path (Figure e), which reduces the char reactivity (Figure ).
Char
Combustion Kinetic
G(X) fittings versus
oxidation time calculated from three
different models are shown in Figure at the range of conversion rate from 0.1 to 0.9. Overall,
the shrinking core model fits the experiment well at the measured
temperatures for different sampled chars (Figure a–c). However, the nucleation and
growth model (Figure d–f) and two-dimensional diffusion model (Figure g–i) fail to fit as
a straight line particularly at a low conversion rate. That is to
say that the shrinking core model is better than the nucleation and
growth model and two-dimensional diffusion model to fit char combustion
in the TG reactor. Therefore in later sections, we used the shrinking
core model to calculate kinetic parameters. The reaction rate constant k is the slope of the fitting straight line from the shrinking
core model (Figure a–c).
Figure 7
Linear fitting of G(X) vs reaction time
using
three different models: (a–c) shrinking core model, 773, 823,
and 873 K; (d–f) nucleation and growth model, 773, 823, and
873 K; and (g–i) two-dimensional diffusion model, 773, 823,
and 873 K.
Linear fitting of G(X) vs reaction time
using
three different models: (a–c) shrinking core model, 773, 823,
and 873 K; (d–f) nucleation and growth model, 773, 823, and
873 K; and (g–i) two-dimensional diffusion model, 773, 823,
and 873 K.Table shows the
value of the reaction rate constant measured at various temperatures
for the sampled chars. R2 from the fittings
are over 0.99, which indicates the reliability of the fittings. For
a specific char, either original char or the sampled char, reaction
rate constant k increases with the increase in temperature.
Take the sampled char at 10 min for example, the reaction rate constant
increases from 0.00284 to 0.00525 s–1 with increasing
temperature.
Table 1
Reaction Rate Constants and Kinetic
Parameters of the Sampled Char Calculated from the Shrinking Core
Model
sampling time
T (K)
R2
k (s–1)
ln k
A (s–1)
E (kJ/mol)
original
773
0.9999
0.00322
–5.738
0.153
25.05
823
0.9979
0.00357
–5.635
873
0.9948
0.00506
–5.286
0.5 min
773
0.9938
0.00293
–5.833
0.204
27.40
823
0.9972
0.00352
–5.649
873
0.9966
0.00479
–5.341
2.5 min
773
0.9999
0.00298
–5.816
0.336
29.79
823
0.9950
0.00521
–5.257
873
0.9989
0.00501
–5.296
5.5 min
773
0.9999
0.00319
–5.748
0.726
34.38
823
0.9957
0.00558
–5.189
873
0.9938
0.00583
–5.145
10 min
773
0.9980
0.00284
–5.864
0.684
34.89
823
0.9967
0.00473
–5.354
873
0.9945
0.00525
–5.250
When comparing the reaction rate constant between original and
different sampled chars, it obeys the rule of decrease–increase–decrease
behavior with the sampling time. For example, at 773 K, the reaction
rate constants are 0.00322 s–1 (original char),
0.00293 s–1 (0.5 min sampling char), 0.00298 s–1 (2.5 min sampling char), 0.00319 s–1 (5.5 min sampling char), and 0.00284 s–1 (10 min
sampling char). Reaction rate constant decreases first from original
char to 0.5 min sampling char, followed by increasing from 0.5 min
sampling char to 5.5 min sampling char. Finally it decreases again
to 10 min sampling char. The similar results could be also found in
other temperatures, which agree with the results in Figure .When the values of k at different temperatures
were determined, and the kinetic parameters could be obtained according
to eq . The values of
ln k at different cases are listed in Table , as well as the calculated
values of pre-exponential factor A and activation
energy E. Both pre-exponential factor A, i.e., from 0.153 to 0.684 s–1, and activation
energy E, i.e., from 25.05 to 34.89 kJ/mol, of the
sampled char increase with the sampling time, which is much different
from the rule of char reactivity (Figure ). This indicates that the sampled char reactivity
is determined by not only kinetic parameters but also the char structure
(i.e., pore structure and carbon matrix). A high pre-exponential factor
means high molecule collision. High activation energy results in the
reaction taking place difficulty. With the combustion proceeding in
the MFB, coal char becomes more and more reactive because of the increase
of pre-exponential factor A. However, because the
char structure becomes ordered and activation energy increases, char
reactivity slightly decreases at the early combustion stage (≤0.5
min in this study). In late combustion stage, the activation energy
has a little change from 5.5 to 10 min sampling char. However, due
to the pore collapse and ash blocking, char reactivity decreases at
the end (Figure ).
Char Gasification Reactivity
Coal
char was continuously sampled in CO2/H2O gasification
atmospheres. Char gasification conversion (X) and
reaction rate (dX/dt) are shown
in Figure . Compared
to Figure a, increasing
either CO2 (Figure b) or H2O (Figure c) partial pressure can enhance the gasification conversion.
Moreover, in Figures and 8, there is not much difference between
the combustion and gasification rate. This is mainly because our combustion
experiments are performed at 773, 823, and 873 K, while gasification
experiments are performed at 1273 K. In Figure , it takes about 12 min to finish combustion
at 773 K, while only 5 min are required at 873 K. If the temperature
increases to 1273 K, the time for finishing combustion would be much
lower than 5 min and would be much faster than the gasification rate
in Figure .
Figure 8
Gasification
conversion of the sampled char at different gasification
atmospheres: (a) 20% CO2 + 20% H2O, (b) 33.3%
CO2 + 20% H2O, and (c) 20% CO2 +
33.3% H2O.
Gasification
conversion of the sampled char at different gasification
atmospheres: (a) 20% CO2 + 20% H2O, (b) 33.3%
CO2 + 20% H2O, and (c) 20% CO2 +
33.3% H2O.Figure shows the
gasification rate of different sampled chars. The difference in gasification
rates originates from different gasification atmospheres. There is
not much difference for the gasification rate of the sampled char
at an atmosphere of 20% CO2 + 20% H2O (Figure a). A minor increase
was observed for 2.0 min sampling char. The gasification rate obviously
increases along with the sampling time at both 33.3% CO2 + 20% H2O (Figure b) and 20% CO2 + 33.3% H2O (Figure c).
Figure 9
Gasification rate of
the sampled char at different gasification
atmospheres: (a) 20% CO2 + 20% H2O, (b) 33.3%
CO2 + 20% H2O, and (c) 20% CO2 +
33.3% H2O.
Gasification rate of
the sampled char at different gasification
atmospheres: (a) 20% CO2 + 20% H2O, (b) 33.3%
CO2 + 20% H2O, and (c) 20% CO2 +
33.3% H2O.As for the reaction index Rs from the
overall average, char reactivity is shown in Figure . In Figure a, a minor decrease from 0.5 to 1.0 min
sampling char is followed by the increase from 1.0 to 2.0 min sampling
char. Overall, the difference of Rs in
20% CO2 + 20% H2O is not much. In Figure b, a minor decrease
from 0.5 to 1.0 min sampling char is followed by a large increase
from 1.0 to 2.0 min sampling char. In Figure c, Rs increases
with the sampling time. Overall, in different gasification atmospheres,
the reactivity of the sampled (partial gasified) char increases with
the sampling time even though there is a minor decrease in the initial
gasification stage. The same phenomenon can be found in the gasification
reaction rate constant, as shown in Table . In Section , a reactivity decrease was observed in
the late combustion stage in our combustion test, while it was not
found in the gasification test probably due to the short sampling
time in the MFB.
Figure 10
Reactivity index Rs of the
sampled
char at different gasification atmospheres: (a) 20% CO2 + 20% H2O, (b) 33.3% CO2 + 20% H2O, and (c) 20% CO2 + 33.3% H2O.
Table 2
Reaction Rate Constants of the Sampled
Char (Calculated from the Shrinking Core Model)
k (s–1)
sampling time
20%
CO2 + 20% H2O
33.3%
CO2 + 20% H2O
20%
CO2 + 33.3% H2O
0.5 min
0.00225
0.00403
0.00343
1.0 min
0.00220
0.00363
0.00400
1.5
min
0.00221
0.00442
0.00431
2.0 min
0.00260
0.00556
0.00530
Reactivity index Rs of the
sampled
char at different gasification atmospheres: (a) 20% CO2 + 20% H2O, (b) 33.3% CO2 + 20% H2O, and (c) 20% CO2 + 33.3% H2O.In gasification, a small amount (5%) of O2 was injected
together with CO2/H2O. In a low oxygenO2/CO2/H2O atmosphere, CO2 concentration
is high, which accelerates the char polycondensation reaction. Hence,
gasification reactivity slightly decreases in the initial stage. Later,
char pores become developed after initial gasification. The developed
char structure results in the increase in the later gasification rate.
Increasing CO2 and H2O (Figures b,c) concentrations in the gasification
test further enhances the gasification reaction as well as reactivity.
CO2-enhanced gasification reactivity dominates for the
highly gasified char, i.e. 1.5 and 2.0 min sampling char (Figure b). H2O-enhanced gasification reactivity dominates for the low gasified
char, i.e. 0.5 and 1.0 min sampling chars (Figure c).
Conclusions
In this study, we self-design an MFB with combination of an online
char particle sampling system to study the kinetics of coal char combustion
and gasification. For Vientiane coal, the online sampled char reactivity
in the MFB obeys the rule of decrease–increase–decrease
behavior with the sampling time. However, both pre-exponential factor A and activation energy E increase with
the sampling time from the original char to sampled char. For the
effects on the sampled char reactivity, the disordered char structure
dominates in the early combustion stage (i.e., carbon conversion rate
<10%); the pore structure dominates in the middle combustion stage
(i.e., carbon conversion rate 10–60%); and the ash component
dominates in the late combustion stage (i.e., carbon conversion rate
>60%). In gasification, the reactivity of the sampled (partial
gasified)
char increases with the sampling time even though there is a minor
decrease in the initial gasification stage. CO2-enhanced
gasification reactivity dominates for highly gasified char, while
H2O-enhanced gasification reactivity dominates for lowly
gasified char. This study shows the reliability of the MFB combining
online particle sampling to investigate char combustion and gasification,
but the tests for different coal ranks as well as the application
to other gas–solid reactions are certainly required in the
future.