banner
News center
As the industry evolves, we are committed to staying ahead of the curve with our quality techniques.

Research on the effect of water-cooling steel pipe on preventing spontaneous combustion of coal pile and its thermal migration behavior | Scientific Reports

Oct 14, 2024

Scientific Reports volume 14, Article number: 8838 (2024) Cite this article

438 Accesses

Metrics details

During the storage and transportation process after mining, coal piles are placed in open environments, making them prone to self-heating and spontaneous combustion due to the nature of coal and factors like natural wind flow. In recent years, there have been frequent spontaneous combustion incidents involving coal piles, posing significant safety risks. To effectively prevent and control spontaneous combustion disasters in open-air coal storage piles, we propose a method involving the arrangement of water-cooling steel pipes within the coal piles. This method applies theories of coal spontaneous combustion mechanisms, porous media heat transfer, and non-isothermal pipeline heat transfer. The multi-physics coupling model of COMSOL numerical simulation software is used to analyze the spontaneous ignition process and prevention effect of open pit coal pile. In the model, the thin material transfer of porous media is taken as the oxygen concentration field, the heat transfer of porous media is taken as the temperature field, and the free and porous media flow is taken as the air seepage velocity field. The simulation results of the spontaneous combustion process in the coal pile indicate that the high-temperature zone of spontaneous combustion is situated within the range of 0.5 ~ 1.5 m inside the wind-facing surface and extends 0.5 m above the ground level. These findings serve as a basis for determining the optimal placement of water-cooling steel pipes within the coal pile. The simulation results of a single water-cooling steel pipe demonstrate a positive correlation between the cooling effect on the coal pile and the water cool flow, and a negative correlation with the water cool temperature. Additionally, the cooling radius of the water-cooling steel pipe is determined by the circumference of the pipe and remains unaffected by the water cool flow. Finally, simulations were conducted to evaluate the cooling effect of multiple rows of steel pipes, and optimal arrangement parameters were determined: a center distance between steel pipes of 1 m and a water cool flow rate of 1500 L/min. As a result, the onset of the self-heating period in the coal pile was delayed by 11 days, and the spontaneous combustion period was extended by 56 days. The arrangement of water-cooling steel pipes in the coal pile has demonstrated significant efficacy in preventing and controlling spontaneous combustion.

Due to the increasing demand and depletion of shallow coal reserves, coal mine disasters gradually increase with the growth of mining depth1,2,3. Coal spontaneous combustion occurs not only in underground coal mines but also frequently in coal storage and transportation in open-pit mining, mines, power plants, wharves, gathering stations, and other locations4. Spontaneous combustion of coal is a common problem in coal mine disasters. For example, coal field fires of varying degrees have occurred in China, South Africa, Australia, and the United States5,6,7,8. When coal is deposited in a fragmented state, oxidation reactions occur upon contact with oxygen. If the heat storage environment is conducive, the coal temperature will continue to rise, leading to spontaneous combustion accidents in coal piles9,10,11,12,13.

Spontaneous combustion of coal piles not only wastes resources but also causes casualties and pollutes the environment, prompting many scholars to conduct research on preventing and controlling this phenomenon. Zhang14,15 employs an improved wire-mesh basket test method to establish a two-dimensional(2D) multi-field coupling model considering the aging effect. They study the change in temperature and oxygen concentration in coal depots. Ejlali16 studies the heat and fluid flow through coal stockpiles and the surrounding area using numerical simulation. Based on this, they examine the variation of maximum temperature and consequent heat removal phenomena under transient and steady-state conditions. Cheng17 establishes a physical–mathematical model of coal-HP-air and investigates the spontaneous combustion process of coal piles, studying the effect of heat pipes (HPs) at four different inclinations on the spontaneous combustion of coal piles. There are two ways to prevent and inhibit the spontaneous combustion of coal: cutting off oxygen and reducing the coal temperature. Currently, various fire prevention and suppression techniques are employed to prevent the spontaneous combustion of coal. These include pressurized grouting gel18,19,20, grouting foam21,22,23, spraying inhibitors24,25, and pumping inert gases (CO2 and N2)26,27,28. However, the aforementioned prevention and control technologies all suffer from limitations such as lengthy treatment times, low efficiency, and high costs. Therefore, finding a high-efficiency and low-cost method to prevent spontaneous combustion and destroy the heat storage state of coal piles has become an urgent issue.

In this paper, the heating position of the coal pile in its natural state is determined using numerical simulation software, and steel pipes are arranged in the high-temperature area. Water is chosen as the heat exchange medium, and the heat stored in the coal body is directly absorbed by the flowing water in the steel pipe to accurately cool the high-temperature area. The distribution of the temperature field of the coal pile before and after the installation of the water-cooling steel pipes is analyzed, and a layout scheme for the water-cooling steel pipes to prevent spontaneous combustion of the coal pile is obtained.

The coal sample used in the experiment was taken from a coal mine in Shanxi Province. The 5E-MAG6700 industrial analyzer was used to analyze the coal sample and measure its moisture, ash, and volatile matter content. The results are shown in Table 1: The coal sample has low moisture content but high volatile content, making it prone to low-temperature oxidation and spontaneous combustion phenomena.

Based on the results of oxygen absorption and industrial analysis, the evaluation of the coal's spontaneous combustion tendency grade is determined, as shown in Table 2.

Based on the results of industrial analysis and the spontaneous combustion tendency grade of the coal sample, it is classified as Class I, indicating a high susceptibility to spontaneous combustion.

The thermogravimetric analysis of coal samples was conducted using a synchronous thermal analyzer. The coal samples consisted of pulverized coal with a particle size less than 0.125 mm and a mass of 3.07 mg. They were heated from 20 °C to 800 °C at a rate of 10 °C/min in a dry air atmosphere. The TG/DTG curve of the coal sample is shown in Fig. 1.

TG/DTG curves of oxidized coal samples.

Based on the TG/DTG curve of coal samples, the following characteristic temperature points are obtained according to Fig. 1: the critical temperature of spontaneous combustion of coal T1(343 K), the dry cracking temperature T2(393 K), and the ignition point temperature T3(623 K). The spontaneous combustion process of coal is divided into four stages: the latent period, the self-heating period, the spontaneous combustion period, and the gas stove phase. These characteristic temperature points provide parameters for the subsequent numerical simulation process.

Figure 2 shows the spontaneous combustion process of coal pile in natural position.

Schematic diagram of spontaneous combustion of open-air coal pile.

With the increase in the temperature of the coal pile, the high-temperature region of the coal pile will shift towards the surface where there is sufficient oxygen supply and favorable heat storage conditions. Oxygen-depleted conditions can reduce the heat release of coal, delaying the occurrence of characteristic temperature points and prolonging the reaction time29. Controlling the temperature of the coal pile during the self-heating period or below can prevent spontaneous combustion. Therefore, the temperature range between T1 and T2 is an important stage in preventing spontaneous combustion of the coal pile.

As depicted in Fig. 3, the flowing water in the water-cooling steel pipe can effectively dissipate the heat stored in the coal pile, thus achieving the purpose of cooling it. Therefore, based on the size and duration of the coal pile's stacking, a layout scheme for the water-cooling steel pipe in the high-temperature area of the coal pile is designed in advance. This enables precise cooling of the coal pile during the self-heating period (343 K ~ 393 K) and extends its ignition time.

Schematic diagram of water injection steel pipe cooling.

The multi-physics field coupling model of COMSOL Multiphysics software is utilized to simulate the spontaneous combustion process of the coal pile30. In this model, dilute matter transfer in porous media represents the oxygen concentration field, heat transfer in porous media represents the temperature field, and free and porous media flow represents the air seepage velocity field.

Air seepage velocity field equation.

The air flow inside the coal pile satisfies Brinkman equation31,32, i.e.:

where, ∇ is the Hamilton operator; p is pressure, Pa; μ is dynamic viscosity, Pa·s; k is the permeability coefficient of coal pile; v is the velocity vector, m/s.

Oxygen concentration field equation.

Oxygen flows in the pores of coal body and redox reaction occurs with coal body. The equation of oxygen concentration change is:

where, n is coal porosity, %; c is oxygen concentration, mol/m3; t is time, s; D is the air diffusion coefficient, m2/s; r is the oxygen consumption rate, mol/(m3·s).

Coal pile temperature field equation.

Heat transfer between gas phase and solid phase in coal pile satisfies the heat balance hypothesis33, the expression is:

where, ρg and ρs respectively represent the density of air and coal body, kg/m3; Cg and Cs represent the specific heat capacity of air and coal, J/(kg·K); k1 is the thermal conductivity between air and coal, W/(m·K); Q is the heat release intensity of coal, W/m3. Qc is the heat lost from coal to air, W/m3.

The expression of heat loss from coal to air is:

where, h is the heat transfer coefficient, W/(m2·K); Ti is the initial temperature of coal pile, K; dx is the unit length of the contact surface between coal and air, m.

The number of heat transfer coefficient is determined by the specific size of the coal pile and the way of convection with the air.

In the natural environment, the wind speed naturally flows into the coal body. However, due to seepage losses, the wind speed decreases to approximately zero within the coal pile. Therefore, the wind speed for air seepage inside the coal pile is set to v = 0.0001 m/s. The initial temperature of the coal pile and the external air temperature are both set to 300.15 K. The main parameters of the coal pile model are obtained from the coal sample test results of a coal mine in Shanxi, as shown in Table 3.

The formula of oxidation heat release rate of coal sample is as follows:

The oxygen consumption rate of the coal sample is as follows34:

The oxygen diffusion coefficient is shown below:

where, T is the temperature of coal pile, K; Ti is the initial temperature of the coal pile, K.

The heat source of the model is the oxidation reaction that occurs between coal and oxygen. Oxygen enters from the windward side, causing continuous oxidation of the coal upon contact and releasing heat. Regarding heat dissipation, the primary mechanism involves heat conduction within the coal body and interactions with the coal wall surface. Any remaining accumulated heat is then exchanged with the water-cooling steel pipe. As water flows at a certain speed, heat generated inside the coal pile is removed through exchange with the flowing water, thereby achieving the purpose of cooling.

The YOZ direction of the model is set as the wind direction of the coal pile, that is, the inlet of the air flow, and the other faces are all the outlet of the air flow. The initial temperature of the coal pile is 300 K, the same as that of the atmospheric environment, and the specific boundary conditions are shown in Table 4.

In a steel tube, the flow of water is represented by the momentum and mass conservation equations:

where, u is the average fluid velocity of the cross section in the tangential direction of the pipe center line, m/s; A is the cross-sectional area of the pipeline, m2; ρ is the fluid density, kg/m3.

Table 5 shows the related parameters of water-cooling steel pipes.

The initial size of the open-pit coal pile is set to 25 × 12 × 6 m, with the plane YOZ representing the windward side, as depicted in Fig. 4. When the coal pile is situated in a sufficiently large atmospheric environment area, airflow disturbances around the coal pile tend to stabilize, and the inlet and outlet airflows converge35.

Coal pile geometry.

In order to improve the accuracy of numerical analysis, the established geometric model is grid-divided. The grid section of coal pile and water-cooling pipe is shown in Fig. 5. The number of peak units: 8; boundary units: 320; unit: 75,825; minimum unit mass: 0.04138.

Model Mesh Construction Diagram.

In order to determine the range of high temperature zone, firstly, numerical simulation of spontaneous combustion of coal pile is carried out, and the results are shown in Fig. 6.

Internal temperature of coal pile naturally placed.

According to Fig. 6a, after 40 days of natural stacking, the maximum temperature inside the coal pile reaches 343 K, indicating the onset of the self-heating stage. As shown in Fig. 6b, after 53 days of natural stacking, the maximum temperature inside the coal pile reaches 393 K, signaling the onset of spontaneous combustion. Additionally, Fig. 4 illustrates that the high-temperature zone of the coal pile is parallel to the wind surface and gradually diffuses towards the surface.

Figure 7 displays the temperature variation of the coal pile at a height of 3.6 m along the X direction toward the windward side, with its monitoring position indicated by the "① Horizontal temperature monitoring line" in Fig. 4. According to Fig. 7, the highest temperature inside the 40-day-old coal pile occurs 1.15 m away from the windward side, while in the 53-day-old coal pile, the highest temperature gradually shifts outward to 0.5 m away from the windward side. Furthermore, the coal within the horizontal depth range of 0.5 m to 1.15 m from the windward surface undergoes self-heating between 40 and 53 days.

The internal temperature change diagram in the X direction at the origin of the coal pile.

Monitor the temperature change at a depth of 1 m from the coal pile to the windward surface. The monitoring position is shown in Fig. 4, labeled as "② Temperature monitoring on the inside of the wind surface," and the monitoring results are shown in Fig. 8. As can be seen from Fig. 8, between the 40th and 53rd days, the highest temperature inside the coal pile reaches 2 m in height. By the 53rd day, the coal within the vertical range of 0.5 m to 5 m is in the self-heating stage.

Temperature variation diagram of coal pile parallel to the wind-receiving surface at a depth of 1 m.

Based on the research results mentioned above, it is determined that the coal pile self-heating area extends within the range of 0.5 to 1.15 m from the windward side in the horizontal direction and 0.5 to 5 m in the vertical direction. Therefore, design and arrangement should be made within this range.

According to the simulation results mentioned above, the steel pipe is arranged in the high-temperature section on the windward side, positioned 2 m above the ground and 1 m from the windward side, as illustrated in Fig. 4. The water-cooling steel pipe is set to flow when the maximum temperature inside the coal pile reaches 343 K, and temperature changes inside the coal pile are monitored.

The flow rate of the water-cooling steel pipe directly affects its heat transfer performance. To determine the influence of flow rate on the cooling range and radius, simulation experiments were conducted using single steel pipes with flow rates of 0, 100 L/min, 300 L/min, 500 L/min, 700 L/min, and 900 L/min.

Figure 9 displays the temperature variation of "temperature monitoring line ②"at different flow rates, while Fig. 10 illustrates the temperature field variation of the coal pile before and after the layout of water-cooling steel pipes.

The temperature change diagram of the arrangement surface of the steel pipe on the 60th day with different flow rates.

Comparison chart of temperature change of coal pile before and after water injection of steel pipes with different flow rates.

It can be observed from Figs. 9 and 10 that the cooling range of the water-cooling steel pipe is positively correlated with the flow rate. When the flow rate exceeds 500 L/min, the minimum coal temperature drops to 322 K. Compared to a flow rate of 0, this represents a temperature reduction of 55 K, and compared to the absence of steel pipe layout, the temperature drops by 80 K.

Figure 11 shows the temperature change of coal pile at the 60d water-cooling steel pipe.

The cooling rate inside the coal pile near the water-cooling steel pipe.

As seen from Fig. 11, the greater the flow rate, the larger the cooling range. However, when the flow rate exceeds 500L/min, there is little difference in both the cooling range and radius, suggesting that further increasing the flow rate may not be significantly beneficial. Additionally, Fig. 11 illustrates that regardless of the flow rate, the cooling effect is relatively significant within a 0.5 m distance from the water-cooling steel pipe.

The water temperature of the inlet will affect the heat transfer between the fluid in the pipe and the coal pile. To study the influence of the inlet water temperature on the cooling effect of the water-cooling steel pipe, comparative experiments are conducted with inlet water temperatures of 300 K, 310 K, 320 K, 330 K, and 340 K respectively.

Figure 12 depicts the temperature change along temperature monitoring line ② with varying water temperatures at the inlet of the water-cooling steel pipe. Figure 13 illustrates a comparison of the temperature change in coal piles over 60 days under different inlet water temperatures. It can be observed from Figs. 12 and 13 that the inlet water temperature significantly influences the heat exchange performance of the water-cooling steel pipe. Lower inlet water temperatures result in greater reductions in coal temperature around the steel pipe. For instance, compared to a water temperature of 340 K, the maximum coal temperature of the same coal pile is 33 K lower when the water temperature is 300 K.

Variation diagram of coal pile temperature on the 60th day with different cooling water temperatures.

Comparison of temperature changes of coal piles on the 60th day with different cooling water temperatures.

Cooling radius of water-cooling steel pipe.

As shown in Fig. 14: the heat transfer mode through the tube wall satisfies the following formula:

where, Qw is heat transfer over meters, W/m; Z is the circumference of steel pipe, m; h is the heat transfer coefficient of the fluid in the tube, W/(m2·K); T is the coal temperature near the wall, K; Te is the cooling water temperature, K.

Schematic diagram of cooling radius of steel pipe.

The heat absorbed by steel pipe per unit length is:

where, Q1 is the heat absorbed by the tube wall, W; dx is the unit length of the steel pipe, m.

Equation36 can be used to calculate the influence range of water-cooling steel pipe on coal temperature within a unit time:

where, Q2 is the heat released by coal body, W; q is the calorific value of coal, J/kg, R is the cooling radius of steel pipe to coal, m; r is the outer radius of the steel pipe, m; ρg is the density of coal, kg/m3; dt is unit time, s.

When Q1=Q2, heat transfer efficiency reaches the maximum and cooling radius also reaches the maximum.

Therefore

It can be seen from Eq. (14) that the cooling radius (R) of the water-cooling steel pipe is related to the heat transfer coefficient of water (h), the heat value of coal (q) and the outer diameter of the steel pipe (r), and has nothing to do with the velocity of water. When the steel pipe parameters in the model are used, the cooling radius of the water-cooling steel pipe is 0.5 m.

The influence of flow rate on temperature drop amplitude.

Increasing the inlet flow rate will increase the cooling range of the steel pipe, but with the continuous increase of the flow rate, the cooling range of the steel pipe will grow smaller and smaller. When the pipe diameter is constant, the relationship between flow rate and heat transfer power can be obtained according to formula (10), as shown in Fig. 15.

Flow rate-heat transfer power fitting curve.

The relationship between velocity and heat transfer power can be obtained as follows:

where, v is the velocity of water, m/s; PH is the heat transfer power.

As can be seen from Fig. 15, the heat transfer power increases with the increase of the flow velocity. When the flow velocity increases to a certain value, the heat transfer power does not increase when it reaches the maximum value, and the flow velocity at this time (500L/min) is the optimal flow velocity under this condition.

The influence of initial water temperature on the range of cooling.

The lower the inlet temperature, the greater the temperature difference between the water temperature in the pipe and the surrounding coal body, the more cold water transferred to the coal body in the pipe. The endothermic formula of water is:

where, Q is the heat absorbed by water when it heats up, J; c is the specific heat capacity of water, J/(kg·K); m is the mass, kg; T2 is the outlet water temperature, K; T1 is the inlet water temperature, K.

As can be seen from the formula, the higher the initial water temperature, the less heat absorbed by the water and the smaller the cooling range. Therefore, when cooling the water supply pipe, the lowest water temperature should be selected.

After determining the cooling performance of a single water-cooling steel pipe, simulation analysis of multiple rows of water-cooling steel pipes was conducted. The parameters used in the simulation are as follows: when the inlet temperature is 300 K, water in the pipe starts to flow when the maximum temperature in the coal pile reaches 343 K, and the center distance between adjacent steel pipes is 1 m.

The cooling simulation of multi-row water-cooling steel pipes with a flow rate of 500L/min was conducted. The steel pipes are arranged in the high-temperature area, which is on a plane parallel to the wind surface at a depth of 1 m, as shown in Fig. 16. According to the simulation results of spontaneous combustion of the coal pile, the temperature of the high-temperature zone of the coal pile is relatively higher under the wind surface. Therefore, the bottom of the coal pile is set as the water inlet, and the top is set as the water outlet.

Arrangement of multi-row water-cooling steel pipes.

A 70-day multi-row water-cooling steel pipe cooling simulation was conducted, and the simulation results are shown in Fig. 17. Figure 17a displays the temperature distribution characteristics after multiple rows of water-cooling steel pipes were arranged on day 51. As seen from the figure, after the arrangement of multiple rows of water-cooling steel pipes, the maximum temperature of the coal pile reached 345 K on the 51st day after placement, which is 11 days longer than that without the arrangement of water-cooling steel pipes. At this point, the coal pile enters the self-heating zone, and the water inside the steel pipe begins to flow.

The temperature distribution of coal pile of arrangement of multi-row water-cooling steel pipes.

Figure 17b shows the temperature distribution characteristics of coal pile 70d. As can be seen from the figure, after the arrangement of multiple rows of water-cooling steel pipes, the maximum temperature of the coal pile on the 70th day is 386 K, which is 27d longer than that without the arrangement of steel pipes, and the cooling effect is very obvious.

Figure 18 shows the temperature change of "temperature monitoring line ②" before and after the arrangement of multiple rows of water-cooling steel pipes on the 70th day. The figure shows the position of steel pipes. Figure 19 shows the comparison of coal pile temperature before and after the arrangement of multiple rows of water-cooling steel pipes. It can be seen from Figs. 18 and 19 that, compared with without steel pipes, the coal temperature after steel pipes are arranged is greatly reduced, and the maximum temperature difference before and after the same position reaches 58 K.

Temperature changes before and after arranging multiple rows of water-cooling steel pipes.

Comparison of coal pile temperatures before and after arranging multiple rows of water-cooling steel pipes.

Different from the single water-cooling steel pipe, the full length of the multi-row water-cooling steel pipe is longer, and the heat exchange time between the cold water and the coal body in the steel pipe also becomes longer. In order to ensure the cooling effect, the flow should be appropriately increased according to the simulation results. Therefore, cooling experiments with flow rates of 1000 L/min, 1500 L/min and 2000 L/min were carried out, and the results are shown in Fig. 20.

Temperature distribution map of coal pile with different flow rates.

Figure 20a shows the temperature distribution diagram of the coal pile at the 70th day when the flow rate is 1000 L/min. At this time, the maximum temperature inside the coal pile is 360 K, which is 26 K lower than that at the flow rate of 500 L/min. Figure 20b and c show the temperature distribution of the coal pile at the 70th day when the flow rate is 1500 L/min and 2000 L/min respectively. The maximum temperature of the coal pile is 359 K and 358 K respectively.

Figure 21 shows the temperature change at the temperature monitoring line ② on the 70th day with different flow rates in the pipe. Figure 22 shows the temperature field change before and after the arrangement of multi-row water-cooling steel pipes. As can be seen from the figure, the coal temperature of the coal pile is effectively controlled after the water-cooling steel pipe is arranged. When the flow rate is 500 L/min, there is still a small area of high temperature near the wind surface of the coal pile. When the flow rate is greater than 1000 L/min, the coal body temperature is controlled below the self-heating stage at 70 d. When the flow rate is 1500 L/min, the lowest coal temperature is reduced to 310 K, and the highest coal temperature is also below 343 K, which does not enter the self-heating stage. Compared with the multi-discharge water supply flow of 500 L/min, the highest coal temperature is reduced by 20 K. The temperature change at the flow rate of 2000L/min is basically the same as that at the flow rate of 1500L/min. Therefore, 1500 L/min is the optimal flow rate.

Temperature change on the 70th day before and after the arrangement of multiple rows of water-cooling steel pipes.

Temperature field on the 70th day before and after the arrangement of multi-row water-cooling steel pipes.

Figure 23 shows the change curve of coal temperature with time under different flow rates. As can be seen from Fig. 23, when no water-cooling steel pipe is arranged, the coal pile is placed for 40d naturally, and the maximum temperature reaches 343 K, entering the self-heating stage. At 53 d, the highest temperature reached 393 K and entered the spontaneous combustion stage.

Temperature changes before and after arranging multiple rows of water-cooling steel pipes.

The time for coal pile to enter the self-heating and self-combustion period is prolonged with the increase of the flow rate, and the results are shown in Table 6.

It can be seen that the time of coal pile entering self-heating period is extended by 8~19 d and the time of coal pile entering self-combustion period is extended by 10~56 d after the arrangement of water-cooling steel pipe.

This paper uses COMSOL numerical simulation software to analyze the spontaneous ignition process and the prevention effects on open pit coal piles. Based on the law of natural ignition of coal piles and the range of the high-temperature area, this paper proposes a scheme to cool coal piles using water-cooling steel pipes, it studies the effect of water-cooling steel pipes on the temperature field distribution in open pit coal piles, and provides the optimal layout parameters for water-cooling steel pipes in coal piles. The main conclusions are as follows:

The cooling radius of the water-cooling steel pipe is determined by the heat transfer coefficient of water, the heat value of coal, and the outer diameter of the steel pipe. However, it is independent of the flow rate and water temperature. Under simulated conditions, the cooling radius of the water-cooling steel pipe is 0.5 m. The optimal cooling effect can be achieved when the center distance between adjacent steel pipes is 1 m.

The water flow in the water-cooling pipe greatly influences the cooling effect of the coal pile. The higher the flow rate, the greater the cooling range of the coal pile. For a single pipe arrangement, the optimal flow rate is 500L/min, while for a multi-row arrangement, it is 1500L/min.

The cooling effect of the coal pile is negatively correlated with the water inlet temperature. The lower the water temperature at the inlet of the water-cooling pipe, the better the cooling effect of the coal pile.

The time for the coal pile to enter the self-heating period is extended by 8 to 19 days, and the time for the coal pile to enter the self-combustion period is extended by 10 to 53 days after the arrangement of multi-row water-cooling steel pipes.

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Xiao, Y., Ren, S.-J., Deng, J. & Shu, C.-M. Comparative analysis of thermokinetic behavior and gaseous products between first and second coal spontaneous combustion. Fuel 227, 325–333 (2018).

Article CAS Google Scholar

Wang, H., Nie, W., Cheng, W., Liu, Q. & Jin, H. Effects of air volume ratio parameters on air curtain dust suppression in a rock tunnel’s fully-mechanized working face. Adv. Powder Technol. https://doi.org/10.1016/j.apt.2017.11.007 (2017).

Article Google Scholar

Sun, C. et al. R&D of colloid com- ponents of composite material for fire prevention and extinguishing and an in- vestigation of its performance. Proc. Saf. Environ. Protect. Trans. Institut. Chem. Eng. B 113, 357–368 (2018).

Article Google Scholar

Mandal, S. et al. A comparative kinetic study between TGA & DSC techniques using model-free and model-based analyses to assess spontaneous combustion propensity of Indian coals. Process Saf. Environ. Protect. 159, 1113–1126 (2022).

Article CAS Google Scholar

Ellyett, C. D. & Fleming, A. W. Thermal infrared imagery of the burning mountain coal fire. Remote Sens. Environ. 3(1), 79–86 (1974).

Article ADS Google Scholar

Engle, M. A., Olea, R. A., O’Keefe, J. M. K., Hower, J. C. & Geboy, N. J. Direct estimation of diffuse gaseous emissions from coal fires: Current methods and future directions. Int. J. Coal Geol. 112, 164–172 (2013).

Article CAS Google Scholar

Bell, F. G., Bullock, S. E. T., Halbich, T. F. & Lindsay, J. P. Environmental impacts ssociated with an abandoned mine in the Witbank Coalfield. South Africa Int. J. Coal Geol. 45, 195–216 (2001).

Article CAS Google Scholar

Kuenzer, C. et al. Uncontrolled coal fires and their environmental impacts: Investigating two arid mining regions in north-central China. Appl. Geogr. 27, 42–62 (2007).

Article Google Scholar

Huang, Z. et al. Preparation and properties of a rock dust suppressant for a copper mine. Atmos. Pollut. Res. 10, 2010–2017 (2019).

Article ADS CAS Google Scholar

Bao, Q. et al. The preparation of a novel hydrogel based on crosslinked polymers for suppressing coal dusts. J. Clean. Prod. 249, 119343 (2020).

Article CAS Google Scholar

Yin, S., Nie, W., Liu, Q. & Hua, Y. Transient CFD modelling of space-time evolution of dust pollutants and air-curtain generator position during tunneling. Clean. Prod. 239, 117924 (2019).

Article Google Scholar

Xue, D. et al. Fire prevention and control using gel-stabilization foam to inhibit spontaneous combustion of coal: Characteristics and engineering applications. Fuel 264, 116903 (2020).

Article CAS Google Scholar

Zhang, H. et al. Preparation and performance study of a novel polymeric spraying dust suppression agent with enhanced wetting and coagulation properties for coal mine. Powder Technol. 364, 901–914 (2020).

Article CAS Google Scholar

Zhang, H. et al. Application of aging effect model in numerical simulation for predicting spontaneous combustion of coal stockpiles. J. Therm. Anal. Calorim. 147, 13847–13860 (2022).

Article ADS CAS Google Scholar

Zhang, H., Sasaki, K., Zhang, X., Sugai, Y. & Wang, Y. Numerical simulations on the self-heating behaviours of coal piles considering aging effect. Combust. Theor. Modell. 23, 1169–1190 (2019).

Article ADS MathSciNet CAS Google Scholar

Ejlali, A. & Hooman, K. Buoyancy effects on cooling a heat generating porous medium: Coal stockpile. Transp. Porous Med. 88, 235–248 (2011).

Article CAS Google Scholar

Cheng, F. et al. Numerical evaluation of inclined heat pipes on suppressing spontaneous coal combustion. Heat Mass Transf. 56, 1861–1874 (2020).

Article ADS CAS Google Scholar

Deng, J., Xiao, Y., Lu, J., Wen, H. & Jin, Y. Application of composite fly ash gel to extinguish outcrop coal fires in China. Nat. Hazards 79, 881–898 (2015).

Article Google Scholar

Liu, Q. et al. A study on the dust control effect of the dust extraction system in TBM construction tunnels based on CFD computer simulation technology. Adv. Powder Technol. 30, 2059–2075 (2019).

Article Google Scholar

Xu, C. et al. Multi-factor numerical simulation study on spray dust suppression device in coal mining process. Energy 182, 544–558 (2019).

Article Google Scholar

Lu, Y. Laboratory study on the rising temperature of spontaneous combustion in coal stockpiles and a paste foam suppression technique. Energy Fuels 31, 7290–7298 (2017).

Article ADS CAS Google Scholar

Tian, Z. et al. Application of inorganic solidified foam to control the coexistence of unusual methane emission and spontaneous combustion of coal in the Luwa coal mine, China. Combust. Sci. Technol. 192, 638–656 (2020).

Article CAS Google Scholar

Hu, X., Zhao, Y., Cheng, W., Wang, D. & Nie, W. Synthesis and characterization of phenol-urea-formaldehyde foaming resin used to block air leakage in mining. Polym. Compos. 35, 2056–2066 (2014).

Article CAS Google Scholar

Huang, Z. et al. Experimental study on the compound system of proanthocyanidin and polyethylene glycol to prevent coal spontaneous combustion. Fuel 254, 115610 (2019).

Article CAS Google Scholar

Lü, H.-F. et al. Inhibiting effects of 1-butyl-3-methyl imidazole tetrafluoroborate on coal spontaneous combustion under different oxygen concentrations. Energy 186, 115907 (2019).

Article Google Scholar

Qin, B. Large-area goaf fires: a numerical method for locating high-temperature zones and assessing the effect of liquid nitrogen fire control. Environ. Earth Sci. https://doi.org/10.1007/s12665-016-6173-5 (2016).

Article Google Scholar

Fu-bao, Z., Bo-bo, S., Jian-wei, C. & Ling-jun, M. A new approach to control a serious mine fire with using liquid nitrogen as extinguishing media. Fire Technol. 51, 325–334 (2015).

Article Google Scholar

Zhang, Q., Hu, X., Wu, M., Zhao, Y. & Yu, C. Effects of different catalysts on the structure and properties of polyurethane/water glass grouting materials. J. Appl. Polymer Sci. 135, 46460 (2018).

Article Google Scholar

Wang, D. et al. Quick test method for the experimental period minimum of coal to spontaneous combustion. J. China Coal Soc. 39, 2239–2243 (2014).

CAS Google Scholar

Saboorian-Jooybari, H. & Pourafshary, P. Significance of non-Darcy flow effect in fracture dtight reservoirs. J. Nat. GasSci. Eng. 24, 132–143 (2015).

Article Google Scholar

Qin, Y., Luo, H. & Jiang, W. The research of gas migration multi-physics coupling model under the non-isothermal adsorption distortion. J. China Coal Soc. 36, 412–416 (2011).

CAS Google Scholar

Saboorian Jooybari, H. & Pourafshary, P. Significance of non-Darcyflow effect in fracturedtight reservoir. J. Nat. Gas Sci. Eng. 24, 132–143 (2015).

Article Google Scholar

Yu Tao, Z., Yuan Bo, Z., Ya Qing, L., Xueqiang, S. & Yujie, Z. Heat effects and kinetics of coal spontaneous combustion at various oxygen contents. Energy 234, 121299 (2021).

Article Google Scholar

Yang, Y. Study on Measurement of the Shortest Coal Spontaneous Combustion Period and Spontaneous Combustion Control Technology of Coal Stockpile (China University of Mining and Technology, 2009).

Google Scholar

Yuan, L. & Smith, A. C. Numerical study on effects of coal properties on spontaneous heating in longwall gob areas. Fuel 87, 3409–3419 (2008).

Article CAS Google Scholar

Senthil Kumar, R., Vaidyanathan, S. & Sivaraman, B. Effect of copper nanofluid in aqueous solution of long chain alcohols in the performance of heat pipes. Heat Mass Transf. 51, 181–193 (2015).

Article ADS CAS Google Scholar

Download references

This work was funded by The Natural Science Foundation Program of Liaoning Province, No. 2022-MS-395.

College of Safety Science and Engineering, Liaoning Technical University, Huludao, 125000, China

Chunming Ai & Shuang Xue

Key Laboratory of Thermal Disaster and Prevention, Ministry of Education, Huludao, 125000, China

Chunming Ai & Shuang Xue

Beijing Urban Construction Rail Transit Construction Engineering Co., Ltd., Beijing, 101125, China

Li Zhang

Shanxi Jinshen Energy Co., Ltd., Xinzhou, 034000, China

Qinyuan Zhou

You can also search for this author in PubMed Google Scholar

You can also search for this author in PubMed Google Scholar

You can also search for this author in PubMed Google Scholar

You can also search for this author in PubMed Google Scholar

C and S wrote the text, L and Q handled the data.

Correspondence to Chunming Ai.

The authors declare no competing interests.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

Ai, C., Xue, S., Zhang, L. et al. Research on the effect of water-cooling steel pipe on preventing spontaneous combustion of coal pile and its thermal migration behavior. Sci Rep 14, 8838 (2024). https://doi.org/10.1038/s41598-024-58857-3

Download citation

Received: 07 November 2023

Accepted: 03 April 2024

Published: 17 April 2024

DOI: https://doi.org/10.1038/s41598-024-58857-3

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative