Haohao Fan1,2, Kai Wang1,2, Xiaowei Zhai1,2, Lihong Hu1. 1. School of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an 710054, China. 2. Shaanxi Key Laboratory of Prevention and Control of Coal Fire, Xi'an University of Science and Technology, Xi'an 710054, China.
Abstract
The phenomenon of spontaneous combustion of "oxidized coal" is common in mining processes of goafs, thick coal seams, and unsealing of closed fire areas. In order to study the reburning characteristics of coal with different oxidation degrees, the oxygen concentration in the pre-oxidation process was selected as the key influencing factor. Thermogravimetric analysis (TGA) and in situ Fourier-transform infrared (FT-IR) spectroscopy were used to study the macro- and microcharacteristics of raw and oxidized coal during the combustion stage. The results showed that the pre-oxidation treatment exhibited a dual effect on promoting and inhibiting the weight loss characteristics of oxidized coal. The apparent activation energy, E a, of the combustion reaction for the utilized coal samples was calculated using the Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira-Sunose (KAS) methods, and it was found that the average apparent activation energy (E a®) values of the oxidized coal samples were less in magnitude than that of the raw coal and that the coal sample with the pre-oxidized oxygen concentration of 15% was more prone to the combustion reaction. Using the correlation determination method of key active groups in the proposed coal combustion reaction, the key active groups affecting the weight change of the tested coal samples during the combustion stage were determined as -CH3 and C-O. The results can be helpful to prevent and control coal spontaneous combustion during re-mining and unsealing of closed fire areas.
The phenomenon of spontaneous combustion of "oxidized coal" is common in mining processes of goafs, thick coal seams, and unsealing of closed fire areas. In order to study the reburning characteristics of coal with different oxidation degrees, the oxygen concentration in the pre-oxidation process was selected as the key influencing factor. Thermogravimetric analysis (TGA) and in situ Fourier-transform infrared (FT-IR) spectroscopy were used to study the macro- and microcharacteristics of raw and oxidized coal during the combustion stage. The results showed that the pre-oxidation treatment exhibited a dual effect on promoting and inhibiting the weight loss characteristics of oxidized coal. The apparent activation energy, E a, of the combustion reaction for the utilized coal samples was calculated using the Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira-Sunose (KAS) methods, and it was found that the average apparent activation energy (E a®) values of the oxidized coal samples were less in magnitude than that of the raw coal and that the coal sample with the pre-oxidized oxygen concentration of 15% was more prone to the combustion reaction. Using the correlation determination method of key active groups in the proposed coal combustion reaction, the key active groups affecting the weight change of the tested coal samples during the combustion stage were determined as -CH3 and C-O. The results can be helpful to prevent and control coal spontaneous combustion during re-mining and unsealing of closed fire areas.
When the coal body comes
into contact with oxygen, an oxidation
reaction occurs, resulting in the release of heat. If the heat cannot
be dissipated in time, it causes a constant increase in the temperature
of the coal body, which might even lead to spontaneous combustion.
If the external conditions result in destroying the heat-storage capacity
of the coal body during this process, coal cooling is promoted, resulting
in “oxidized coal” formation. The problem of spontaneous
combustion of oxidized coal is common in the process of coal mining
and utilization such as mining or re-mining of the residual coal in
the goaf;[1,2] after anaerobic cooling in the closed fire
zone,[3,4] after the coalfield fire area is extinguished,
around the burning area;[5−7] in the process of slicing mining
in thick coal seams, or for the upper-slice coal body exposed again
under the influence of lower-slice mining.[8,9] Therefore,
it is of great significance to study the macroscopic and microscopic
characteristics of the oxidized coal spontaneous combustion process
for efficient prevention of reburning of the oxidized coal.Various theoretical and experimental studies have been reported
in the literature on the occurrence and development of the oxidized
coal spontaneous combustion process. Li[10] and Yin[11] found that the thermophysical
parameters of the oxidized coal were greater than those of the raw
coal. Through experimental studies, these authors also expressed that
the thermal diffusion coefficient of the oxidized coal increased linearly
with an increase in the pre-oxidation temperature. Wang et al.[12,13] concluded that the pre-oxidation temperature exhibited a significant
dual impact of first inhibition and then promotion of the secondary
coal oxidation through a temperature-programmed experimental system
and a C80 microcalorimeter, which was consistent with the
research result of Jo.[14] Wang et al.[15] also discussed the influence of the pre-oxidation
degree on the coal spontaneous combustion parameters, and their study
revealed that the pre-oxidation process exhibited positive and inhibitive
impact on the spontaneous combustion parameters during the initial
and later stages of the coal–oxygen composite reaction, respectively.Deng[16,17] and Li[18] compared
the physical and chemical properties of raw and oxidized coal using
proximate analysis, element analysis, and thermogravimetric analysis–Fourier-transform
infrared spectroscopy (TGA–FT-IR) combined testing method,
and they realized that the number of aliphatic side chains, branched
chains, and apparent activation energy of the oxidized coal was lower
than those of the raw coal. According to the results obtained from
FT-IR spectroscopy, Zhu[19] et al. concluded
that the number of aliphatic hydrocarbons and hydroxyl groups in the
oxidized coal showed a decreasing trend with an increase in the pre-oxidation
temperature, while the content of oxygen-containing functional groups
as well as the free radical concentration significantly increased.
Xiao et al.[20] comprehensively compared
the characteristic temperature, exothermic intensity, apparent activation
energy, and microstructure of coal during the first and second oxidation
processes and concluded that the oxidized coal samples were more prone
to spontaneous combustion. The research results of Huang[21] and Ma[22] demonstrated
that the absorption peak intensity of the active functional groups
of the oxidized coal was generally greater than that of the raw coal,
and that when the pre-oxidation temperature was 120 °C, the absorption
peak intensity of the oxidized coal was significantly enhanced, while
the hazardous risks of spontaneous combustion was at the highest level.In contrast to the above mentioned research results, Lu et al.[23] determined that the spontaneous combustion tendency
of the oxidized coal was lower than that of the raw coal when they
comprehensively analyzed the determination indices for the coal spontaneous
combustion tendency, velocity of producing gas, as well as functional
group characteristics of gas–fat coal. Through a feasibility
analysis study, Li et al.[24] proposed a
method of “pre-oxidation” to inhibit the risk of coal
spontaneous combustion. Tang[25] and Wang[26] also found that excessively high pre-oxidation
temperature resulted in the consumption of active functional groups
such as aliphatic hydrocarbons and C–O structures in the coal
samples, thereby reducing the possibility of spontaneous combustion
of the oxidized coal.In summary, oxidized coal with different
oxidation degrees is obtained
when the raw coal is affected by the initial oxidation conditions.
In this process, the physical and chemical microstructure characteristics
of the coal are changed, demonstrating the enhanced or weakened impact
of the coal spontaneous combustion. The current state of research
on the spontaneous combustion characteristics of the oxidized coal
is mainly focused on the pre-oxidation temperature, and several important
aspects of the combustion stage have attracted less attention for
research such as thermal weight loss characteristics as well as microscopic
mechanisms. In this study, the oxygen concentration in the process
of pre-oxidation, referred to as “pre-oxidation oxygen concentration”,
was selected as the key influencing factor for the process of the
spontaneous combustion of the oxidized coal. From the perspective
of macrokinetics and microfunctional groups, some qualitative and
quantitative analysis methods were combined to explore the thermal
weight loss characteristics as well as the microscopic mechanism during
the coal combustion process under different pre-oxidation oxygen concentrations.
The results obtained from this research will be beneficial for the
prevention and control of coal reburning during mining of goafs and
thick coal seams, as well as unsealing of closed fire areas.
In the thermogravimetric (TG) experiment, the TG curve
directly reflects the mass change of coal during the oxidation and
heating processes. The differential thermogravimetric (DTG) curve
is the first derivative of the TG curve, and it represents the rate
of mass change of coal at different temperatures.[27] The TG–DTG curves for the tested coal samples at
different heating rates are shown in Figure , which exhibits obvious segmentation characteristics.
Combined with the characterization method of the characteristic temperature,[28,29] the range of the weight loss stage of coal combustion can be defined
from the temperature point at the end of the mass gain through oxygen
chemisorption (i.e., the temperature corresponding to the local maximum
mass value) to the temperature point at the end of the combustion
reaction (i.e., the initial temperature at which the mass is basically
unchanged after combustion). The characteristic temperature points
for this stage include thermal decomposition temperature T5, ignition temperature T6, maximum mass loss rate temperature T7, and burnout temperature T8.
Figure 1
TG–DTG
curves for the tested coal samples at 5 °C/min
(a), 10 °C/min (b), 15 °C/min (c), and 20 °C/min (d).
TG–DTG
curves for the tested coal samples at 5 °C/min
(a), 10 °C/min (b), 15 °C/min (c), and 20 °C/min (d).Figure shows the
TG–DTG curve for the coal samples under different heating rates.
As shown in Figure , the trends of TG curves for the coal samples are basically the
same in the weight loss stage of combustion, showing a sharp decline
in the mass of the coal. This is due to the fact that stable structures
in coal such as aromatic rings are fractured and decomposed to a greater
extent, and active functional groups are rapidly consumed because
of the attack of the oxygen molecules, releasing CO, CO2, and small molecular organic gases.[30]It is also found that the weight loss rate for the tested
coal
samples is generally greater under a high heating rate, and the pre-oxidation
oxygen concentration has a significant effect on the weight loss characteristics
of the coal samples during the combustion stage, which is shown as
a dual effect of promotion and inhibition. For instance, as the heating
rate increases, the weight loss rate of the raw coal is gradually
greater than that of the oxidized coal, while that of the Y-15% coal
sample is generally lower at different heating rates. These phenomena
may be related to the change of the functional group content in the
coal samples.[31,32]
Characteristic
Temperature
Figure shows the change
of characteristic temperature of the tested coal samples in the combustion
reaction process. It can be seen that the characteristic temperature
presents a hysteresis phenomenon with the heating rate increase. The
explanation is that the temperature of the coal body increases rapidly
under the action of a high heating rate, but the oxygen in the atmosphere
is limited, and the active structure in coal cannot be oxidized and
decomposed in time, which causes the characteristic temperature to
move backward. On the other hand, because of the poor thermal conductivity
of coal, the oxidation and spontaneous combustion characteristics
of coal cannot be accurately reflected when the heating rate is very
high. Therefore, the heating rate of 5 °C/min is taken as an
example for analysis.
Figure 2
Characteristic temperature of the tested coal samples.
Characteristic temperature of the tested coal samples.As shown in Figure , the thermal decomposition temperature T5, ignition temperature T6, maximum weight
loss rate temperature T7, and burnout
temperature T8 for the tested coal samples
are in the range of 276∼289 °C, 418∼435 °C,
480∼490 °C, and 592∼604 °C, respectively,
indicating that the pre-oxidation oxygen concentration has a certain
effect on the characteristic temperature, but the difference is not
significant. T5 is the dynamic equilibrium
point between the oxygen absorption of the coal sample and the consumption
mass of the oxidation reaction. T5 of
the oxidized coal is smaller than that of the raw coal, indicating
that the oxidized coal has entered the rapid combustion reaction stage
in advance. T6 is an important parameter
that affects the ignition characteristics of the coal sample. Beyond
this temperature, the coal samples are pyrolyzed and burned rapidly,
the active functional groups are consumed rapidly, and the weight
loss rate of the coal sample are increased significantly.[33,34] Through a comparative analysis, it is found that the ignition temperature
of the oxidized coal sample is smaller in value than that of raw coal,
and T6 of the Y-15% coal sample is at
minimum, that is, 16.4 °C lower than that of the raw coal and
is more prone to ignition. T7 is the temperature
at the point of maximum weight loss rate of the coal sample. At the
same time, an aggressive chemical reaction takes place inside the
coal molecules, and the concentration of pre-oxidized oxygen has both
the promoting and inhibiting effects on T7. At T8, the combustion reaction of the
coal sample is basically completed, and T8 of the oxidized coal is increased to a certain extent compared with
the raw coal, which indicates that the pre-oxidation treatment can
increase the temperature range of the oxidized coal.
Figure 3
Characteristic temperature
of the tested coal samples at a heating
rate of 5 °C/min.
Characteristic temperature
of the tested coal samples at a heating
rate of 5 °C/min.
Oxidation
Kinetics
Under the condition
of heating, coal reacts with oxygen and decomposes to produce oxidized
coal and gas-phase products. The reaction can be simply expressed
as follows:The coal–oxygen complex reaction
is a dynamic oxidation kinetic process. According to the basic assumption
of oxidation reaction kinetics and assuming that the reaction is irreversible,
the relationship between temperature and reaction rate in the oxidation
process of coal can be described using the Arrhenius equation under
nonisothermal conditions[35]where t is
the reaction time in min; α is the mass-conversion rate of coal
at time t; A is the pre-exponential
factor in min–1; β is the heating rate in
°C/min; Ea is the apparent activation
energy in kJ/mol; R is the universal gas constant
(8.314 J/(mol·K); T is absolute temperature
in K; and f(α) is the differential mechanism
function.According to the TG curve, the conversion of coal
during the spontaneous
combustion reaction process is as follows:where m0 is the initial sample mass in g; m is the sample mass at time t in
g; and m∞ is the sample mass at
the end of the
reaction in g.For the determination of Ea, the Flynn–Wall–Ozawa
(FWO) method based on the multiheating rate experimental conditions
was used. In this method, it is not needed to assume the reaction
mechanism function, which avoids the error caused by the selection
of the mechanism function and the result is more accurate.[36] By calculating the T parameter
at the same α (i.e., equal conversion rate method), the change
of Ea values under different conversion
rates can be intuitively obtained. In order to verify the accuracy
of the FWO method in calculating the apparent activation energy, Kissinger–Akahira–Sunose
(KAS) method was selected for comparison. The expressions of FWO and
KAS methods are as follows:[37,38]where G(α)
is the integral mechanism function.According to eqs and 4, it
can be obtained that lgβ and are linearly related
to 1/T. The calculation results are plotted and fitted
to a straight line,
and the Ea corresponding to each determined
α can be calculated according to the slope of the straight line.
Take α as 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45,
0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, and 0.95. The fitting
curves for the tested coal samples under the FWO and KAS methods are
shown in Figures and 5, and the change curves of Ea and α in the coal combustion reaction are shown in Figure .
Figure 4
FWO fitting curves for
the Y-0% coal sample (a), Y-5% coal sample
(b), Y-10% coal sample (c), Y-15% coal sample (d), Y-20% coal sample
(e), and raw coal sample (f).
Figure 5
KAS fitting
curves for the Y-0% coal sample (a), Y-5% coal sample
(b), Y-10% coal sample (c), Y-15% coal sample (d), Y-20% coal sample
(e), and raw coal sample (f).
Figure 6
Change
curves for α-Ea of the
FWO method (a) and KAS method (b).
FWO fitting curves for
the Y-0% coal sample (a), Y-5% coal sample
(b), Y-10% coal sample (c), Y-15% coal sample (d), Y-20% coal sample
(e), and raw coal sample (f).KAS fitting
curves for the Y-0% coal sample (a), Y-5% coal sample
(b), Y-10% coal sample (c), Y-15% coal sample (d), Y-20% coal sample
(e), and raw coal sample (f).Change
curves for α-Ea of the
FWO method (a) and KAS method (b).As shown in Figure , the Ea of the tested coal samples obtained
using the FWO method and the KAS method is basically consistent with
the change of α. For α < 0.25, the change trend of Ea is different with an increase in α;
however, for α > 0.25, Ea decreases
continuously, and the decrease rate shows a characteristic of rapid
change at first, followed by slower change. Wang[39] and Lu[40] showed that coal spontaneous
combustion is a self-accelerating heating process in which different
functional groups are gradually activated and react with oxygen. Before
the ignition temperature T6, the energy
of the reaction system increases with the increase in temperature,
and stable structures such as aromatic hydrocarbons are thermally
cracked and gradually participate in the reaction. However, variations
of Ea for the oxidized coal with α
are different because of the differences in the degree of initial
oxidation. When the temperature exceeds the ignition temperature T6, that is, α > 0.25, the coal samples
enter the stage of intense combustion, the activity of the coal–oxygen
complex reaction increases rapidly, and a large amount of heat is
released, which causes a gradual decrease in the apparent activation
energy.As shown in Figure , the average apparent activation energy (Ea®) values obtained using the FWO and KAS methods
are
relatively close, which mutually verifies the accuracy of the results.
According to this figure, Ea̅ of the tested
coal samples increases first and then decreases, followed by an increase
with the increase in the pre-oxidation oxygen concentration. The Ea® values of the oxidized coal samples
are lower than those of the raw coal, which is shown as Raw > Y-20%
> Y-5% > Y-0% > Y-10% > Y-15%. The apparent activation
energy can
reflect the energy threshold required for coal to reach a certain
oxidation state, and its value determines the degree of difficulty
in the chemical reaction between coal and oxygen.[41] The smaller the Ea̅ value is, the
easier the oxidation reaction of coal is, which indicates that oxidized
coal exhibits stronger combustion reactivity than the raw coal. Among
them, the Ea̅ value of the Y-15% coal sample
is the smallest in the combustion reaction, which is more prone to
ignition and should be paid more attention to.
Figure 7
Ea® values of the combustion
reaction for the tested coal samples.
Ea® values of the combustion
reaction for the tested coal samples.
FT-IR Analysis
Analysis
of Three-Dimensional In Situ FT-IR
Spectra
According to the experimental results, the three-dimensional
(3D) in situ FT-IR spectra of the molecular structure for each coal
sample during the oxidation heating process is obtained (Figure ). The X-axis is
the wavenumber of the infrared spectrum, the Y-axis is the absorbance
of the spectral peak, and the Z-axis is the temperature.
Figure 8
3D in situ
FT-IR spectra for the Y-0% coal sample (a), Y-5% coal
sample (b), Y-10% coal sample (c), Y-15% coal sample (d), Y-20% coal
sample (e), and raw coal sample (f).
3D in situ
FT-IR spectra for the Y-0% coal sample (a), Y-5% coal
sample (b), Y-10% coal sample (c), Y-15% coal sample (d), Y-20% coal
sample (e), and raw coal sample (f).The reactivity of different functional groups for the tested coal
samples varies with temperature. Among them, the hydroxyl group belongs
to a kind of oxygen-containing functional group, which is more active
in the oxidation process and plays a leading role in the release of
water vapor, and it is often discussed as a separate type of the functional
group. Hydroxyl groups usually appear in three forms: free hydroxyl
groups, intramolecular hydrogen bonds, and intermolecular hydrogen
bonds, and the peak positions are in the range of 3697–3625
cm–1, 3625–3613 cm–1, and
3550–3200 cm–1, respectively.[42] Aliphatic hydrocarbon series exhibit the highest
reaction rate among all other functional groups, and they are the
main molecular structures that directly and indirectly produce hydrocarbon
and carbon–oxygen gases. It usually exists in the form of short-chain
alkanes −CH2– and −CH3;
2945–2915 cm–1 and 2870–2845 cm–1 showed the stretching vibration of methylene, and
1470–1430 cm–1 showed the deformation vibration
of methyl. Aromatic hydrocarbon series are relatively stable in the
oxidation process, and their peak positions are mainly located at
3056–3030 cm–1 (stretching vibration of aromatic
−CH), 1625–1575 cm–1 (stretching vibration
of C=C), 1150–990 cm–1, and 900–700
cm–1(bending vibration of aromatic C–H).[43] The stretching vibration of C=C is an
important basis for judging the existence of benzene rings in substances.
All the tested coal samples contain this functional group, indicating
that coal is a macromolecular compound composed of benzene rings.
The peak positions of the oxygen-containing functional groups are
mainly in the ranges of 1790–1690 cm–1 (stretching
vibration of carbonyl) and 1230–1015 cm–1 (stretching vibration of aromatic ether). The attribution of functional
groups of coal molecules corresponding to the infrared spectra is
shown in Table .
Table 1
Functional Group Position of the Absorption
Peaks of Coal Molecules
spectral
peak type
wavenumber (cm–1)
functional
group
assignment
hydroxyl group
3697∼3625
–OH
free hydroxyl
3625∼3613
–OH
intramolecular hydrogen
bond
3550∼3200
–OH
intermolecular hydrogen
bond
aliphatic hydrocarbons
series
2945∼2915
–CH2–
asymmetric stretching vibration
of methylene
2870∼2845
–CH2–
symmetric stretching vibration
of methylene
1470∼1430
–CH3
deformation vibration of
methyl
aromatic hydrocarbons
series
3060∼3032
Ar–CH
stretching vibration of
aromatic-CH
1625∼1575
C=C
stretching
vibration of
C=C in aromatic ring
1150∼990
C–H
in-plane bending vibration
of aromatic C–H
900∼700
C–H
out-of-plane bending vibration
of aromatic C–H
oxygen-containing
functional groups
1790∼1715
C=O
stretching
vibration of
carbonyl
1230∼1015
C–O
stretching
vibration of
aromatic ether
IR Spectra Analysis at Characteristic Temperatures
The Lambert–Beer law states that the absorbance is positively
correlated with the molecular composition or the content of chemical
groups; therefore, it can be used as an index to analyze the number
of functional groups.[44] The FT-IR spectroscopy
data for different coal samples at T5, T6, T7, and T8 are extracted (Figure ), and the changes in trends associated with
the microstructure at characteristic temperatures are discussed.
Figure 9
IR spectra
for the Y-0% coal sample (a), Y-5% coal sample (b),
Y-10% coal sample (c), Y-15% coal sample (d), Y-20% coal sample (e),
and raw coal sample (f) at different characteristic temperatures.
IR spectra
for the Y-0% coal sample (a), Y-5% coal sample (b),
Y-10% coal sample (c), Y-15% coal sample (d), Y-20% coal sample (e),
and raw coal sample (f) at different characteristic temperatures.As shown in Figure , the characteristic peaks of the free hydroxyl group,
intramolecular
hydrogen bond, and intermolecular hydrogen bond are 3668 cm–1, 3624 cm–1, and 3525 cm–1, respectively.
The free hydroxyl groups and intramolecular hydrogen bonds of each
coal sample are relatively stable and exist during the combustion
process, which indicates that these two active groups are consumed,
while the other functional groups participate in the reaction to form
hydroxyl molecules. The peak of the intermolecular hydrogen bond gradually
narrows, and the content decreases with an increase in the characteristic
temperature. By comparison, it is found that the hydroxyl content
of the Y-15% coal sample is significantly greater than that of other
coal samples. In addition, the infrared spectra of the Y-15% coal
sample show several continuous absorption peaks of intermolecular
hydrogen bonds, and the characteristic peaks also include 3446 and
3303 cm–1.In aliphatic hydrocarbon series,
the corresponding characteristic
peak positions are the asymmetric stretching vibration of methylene
of 2929 cm–1, symmetric stretching vibration of
methylene of 2855 cm–1, and deformation vibration
of methyl of 1447 cm–1. The aliphatic hydrocarbon
structure of each experimental coal sample is rapidly consumed in
the combustion reaction, and oxygen-containing functional groups such
as hydroxyl and carbonyl groups are continuously generated. After
the ignition temperature T6, the absorbance
of the methylene group approaches zero. While the methyl group is
continuously consumed, it exists during the whole combustion stage.
Moreover, the consumption of methylene is greater than that of methyl
groups, which indirectly indicates that the reactivity of methylene
is greater.In the aromatic hydrocarbon series, the stretching
variations of
the aromatic Ar–CH bond of 3053 cm–1 and
the in-plane bending vibration of aromatic C–H of 1029 cm–1 exhibit little change, which represents the stability
of the aromatic ring structure. The C=C double bond of 1597
cm–1 is relatively stable before the maximum weight
loss rate temperature T7, and then, the
absorbance and the content gradually decrease. The continuous out-of-plane
bending vibration of aromatic C–H appears at the peak position
of 900–700 cm–1, which is an important characteristic
peak to identify the position and number of substituents on the benzene
ring. The C–H vibration with a characteristic peak position
of 809 cm–1 gradually disappears after the ignition
temperature T6, and the absorbance of
C–H vibration at 809 and 750 cm–1 slowly
decreases with the increase in the characteristic temperature. Among
them, the aromatic Ar–CH bond and C=C double bond of
the Y-15% coal sample are less involved in the reaction, and their
contents at the burnout temperature T8 are greater than that of other coal samples.Among the oxygen-containing
functional groups, the characteristic
peaks corresponding to the carbonyl (C=O) and ether bonds (C–O)
are 1742 and 1184 cm–1, respectively. Because aliphatic
hydrocarbons participate in the reaction to generate carbonyl groups,
the content of carbonyl in the early coal combustion stage shows an
increasing trend until it reaches a peak value near the ignition temperature T6, and then gradually decreases. However, the
C=O of the Y-15% coal sample exhibits little changes, and the
content is greater than those of other coal samples at the burnout
temperature T8. Ether bond is also one
of the functional groups with strong reactivity. In the process of
consumption, other functional groups react to generate secondary aromatic
aryl ethers or aliphatic ethers, resulting in a relatively stable
content. However, with the increase in temperature, the ether bond
is gradually consumed, and its spectral peak disappears near the burnout
temperature of T8. It should be noted
that the carboxyl group in the range 1715–1690 cm–1 appears at the thermal decomposition temperature of T5, which stacks with the carbonyl group, but the carboxyl
group structure is not stable and will decompose into the carbonyl
group at high temperature, so it is not further discussed here.
Correlation Analysis of Oxidation Kinetics and
Microstructures
In order to further reveal the microscopic
mechanism of coal oxidation
reaction kinetics, a method is proposed in this study to determine
the key active groups that affect the weight loss during the coal
combustion process. According to the calculation results of oxidation
kinetics, the Ea of the combustion reaction
for the tested coal samples decreases with the increase in temperature,
and the change in weight loss becomes easier. Therefore, the active
groups with a good and positive correlation with the apparent activation
energy can promote the kinetic process of the coal sample and can
be identified as the key active groups during the weight loss stage
of coal combustion.The Pearson correlation coefficient method
is used to measure the
degree of linear correlation between the two variables X and Y, and
its value is between −1 and 1, which is denoted by r. The calculated result is 1, meaning that X and Y are
completely positively correlated, and the calculated result is −1,
if the parameters are completely negatively correlated. The greater
the absolute value of r, the stronger the correlation
is. It is generally believed that |r| > 0.6 is
a
strong correlation. The calculation formula is as follows:[45]where r is
the Pearson correlation coefficient; X and Y are the data aggregates of variables and dependent variables; n is the number of variables.Gray relational analysis
is a quantitative description and comparison
method for the development and change trend of a system. The basic
idea is to determine whether the connection is close by determining
the geometric shape of the similarity degree between the reference
data column and several comparison data columns. The value range of
the gray relational coefficient ξ(k) is [0,1]. The formula is as follows:[46]where ξ(k) is
the gray relational coefficient; i is the number
of parameters; k is the
number of coal samples; x0(k) is the normalized reference sequence; x(k) is the normalized comparative sequence; and
ρ is the distinguished coefficient, where ρ ∈ [0,1].
Generally speaking, the stability of the coefficient is the most moderate
when ρ is equal to 0.5.The Pearson correlation coefficient
method and gray relational
analysis have their own advantages in correlation analysis. The Pearson
correlation coefficient method can characterize the contribution of
different active groups in the process of coal oxidation reaction,
but it cannot characterize the degree of correlation between variables
and dependent variables. On the other hand, gray relational analysis
cannot characterize the positive and negative correlations between
variables and dependent variables, but it can truly characterize the
degree of correlation between the data columns. Therefore, the key
active groups can be determined more accurately by combining these
two methods. The results of the Pearson correlation coefficient and
the gray relation coefficient between the active groups and activation
energy for the tested coal samples are shown in Figure .
Figure 10
Values of r (a) and ξ(k)
(b) between active groups and apparent
activation energy.
Values of r (a) and ξ(k)
(b) between active groups and apparent
activation energy.As shown in Figure a, the intermolecular
hydrogen bonds (−OH), C=C, −CH3, and
C–O of the tested coal samples are roughly positively
correlated with the change of Ea, with
a Pearson correlation coefficient of more than 0.6. Because coal combustion
is a weight loss process and Ea decreases
with the increase in temperature, it is speculated that the decrease
in the content of these abovementioned functional groups may contribute
to the decrease in activation energy. According to the calculation
results shown in Figure b, it can be found that the gray correlation coefficients
of different active groups and Ea are
quite different, and the value ranges from 0.35 to 0.94. Similarly,
when the gray correlation coefficient is greater than 0.6, it indicates
that the active group has a good correlation with Ea. On this basis, the active groups with high correlation
with the change in Ea are identified.
As shown in Table , the key active groups affecting the weight loss stage of coal combustion
can be determined more accurately by combining the two correlation
analysis methods.
Table 2
Key Active Groups of the Tested Coal
Samples
coal samples
Y-0%
Y-5%
Y-10%
Y-15%
Y-20%
raw
key active
groups
C=C
C=C
intermolecular hydrogen
bond
–CH3
–CH3
intermolecular
hydrogen
bond
C–O
C–O
–CH3
C–O
C–O
–CH3
C–O
C–O
C=C
According
to the distribution of the key active groups shown in Table , it can be seen that
the key active groups affecting the coal combustion process for the
tested coal samples are mainly −CH3 and C–O.
These structures are largely involved in the combustion reaction and
are the main reason for the weight loss of coal. However, the kinds
of key active groups for various tested coal samples are different.
Conclusions
The effects of pre-oxidation oxygen concentration
on the macroscopic
and microscopic characteristics of the coal samples during the weight
loss stage of the combustion process were studied by TG analysis and
FT-IR measurements. The main conclusions of this study are as follows:(1) The pre-oxidation treatment has
double effects of
promoting and inhibiting the weight loss characteristics. The Ea values of the combustion reaction for the
tested coal samples were calculated using the FWO and KAS methods,
and it was found that after the ignition temperature of T6, Ea decreased with the increase
in the conversion rate α. Compared with the raw coal, the Ea® of the oxidized coal combustion reaction
was lower, showing as Raw > Y-20% > Y-5% > Y-0% > Y-10%
> Y-15%, indicating
that the coal sample with the pre-oxidation oxygen concentration of
15% was more prone to the combustion reaction.(2) During the weight loss stage of the coal combustion
process, the changes of functional groups for the tested coal samples
were basically consistent. The difference was that the hydroxyl content
of the coal sample with a pre-oxidation oxygen concentration of 15%
was significantly higher than those of other coal samples, and there
were several continuous absorption peaks of intermolecular hydrogen
bonds, and the contents of C=O, Ar–CH, and C=C
of the coal sample were relatively higher at the burnout temperature.(3) A correlation method for determining
the key active
groups during the coal combustion process was proposed. The correlation
between the Ea and active groups were
calculated by combining the Pearson correlation coefficient and the
gray relational analysis. Using the correlation values, it was found
that the key active groups for the tested coal samples were mainly
−CH3 and C–O, but the kinds of key active
groups for various tested coal samples were different.
Materials and Methods
Preparation
of the Oxidized Coal
The Jurassic coal from western China,
easily combusted spontaneously
with a low-medium ash content and high calorific value, was selected
as materials for this study. Under a nitrogen atmosphere, the unoxidized
part at the center of the original coal block was crushed and ground,
and the fresh coal samples with the particle size of 180–200
mesh were sieved and then placed in a vacuum drying oven at room temperature
for sealed storage. The results of proximate and elemental analyses
are shown in Table .
Table 3
Proximate Analysis and Elemental Analysis
of Fresh Coala
M: moisture; A: ash; V: volatile matter; FC: fixed carbon;
ad: air dry.Five samples
of fresh coal with similar mass were slowly oxidized
under the oxygen atmosphere of 0, 5, 10, 15, and 20% concentrations,
respectively, with the temperature range of 30∼155 °C.
When the temperature reached 155 °C, it was maintained constant
for 3 h to ensure full oxidation of the coal samples; then, nitrogen
was introduced for anaerobic cooling. The coal samples taken out after
the temperature was lowered to room temperature were the “oxidized
coal” samples, marked as Y-0%, Y-5%, Y-10%, Y-15%, and Y-20%,
respectively. These samples were then placed in a vacuum drying box
for sealed storage. The experimental atmosphere was matched with N2 and O2, and the flow rate was 50 mL/min.
Experimental Procedure and Conditions
TG experiments:
the TG curves for the tested raw and oxidized coal
samples were prepared using a German NETZSCH STA409PC simultaneous
thermal analyzer, with the raw coal samples as the reference group.
During the experiment, the simulated air with a flow rate of 50 mL/min
(V(O2):V(N2) = 1:4) was continuously introduced,
and the coal samples were heated from 30 to 700 °C at different
heating rates of 5, 10, 15, and 20 °C/min. The mass of each tested
coal sample was 5 mg.FT-IR experiments: the test was carried
out using a German Bruker VENTEX70 in situ diffuse reflectance IR
spectrometer. The set values for the heating rate, scanning wave number
range, and resolution were 5 °C/min, 4000∼650 cm–1, and 4.0 cm–1, respectively, and the coal samples
were scanned 32 times in order to synthesize a spectrum. The experimental
temperature range, atmosphere, flow rate, and the quality of the coal
samples were consistent with those used in the TG experiment. In order
to decrease the influence of the diffraction peaks on the results,
KBr powder was mixed with the coal samples at a ratio of 1:150.
Experimental Methodology
In order
to clarify the relationship between the experiments in this study,
a flowchart showing methods and results is shown in Figure . Through the TG and FT-IR
experiments, the changes in the macro and microcharacteristics of
the oxidized coal during the combustion stage with different pre-oxidation
oxygen concentrations were discussed from the perspectives of TG characteristics,
oxidation kinetic parameters, and functional group characteristics.
By combining the apparent activation energy with the active groups,
the correlation analysis method was used to determine the key active
groups that affect the weight loss during the coal combustion stage.
Figure 11
Flowchart
of the methods and the results of research.
Flowchart
of the methods and the results of research.