Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.5
3.2
Journals
Fire
Special Issues
Simulation, Experiment and Modeling of Coal Fires
share announcement

Simulation, Experiment and Modeling of Coal Fires

A special issue of Fire (ISSN 2571-6255).

Deadline for manuscript submissions: 30 June 2024 | Viewed by 6168

Special Issue Editors

Dr. Wei Liu

E-Mail Website
Guest Editor
School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing, China
Interests: mine safety engineering
Dr. Zeyang Song

E-Mail Website
Guest Editor
College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an 710054, China
Interests: self-heating/ignition fire; fire propagation
Dr. Caiping Wang

E-Mail
Guest Editor
School of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an, China
Interests: mine safety engineering
Dr. Bobo Shi

E-Mail Website
Guest Editor
School of Mining Engineering, China University of Mining and Technology, Xuzhou, China
Interests: coal fire prevention and thermal energy utilization

Special Issue Information

Dear Colleagues,

Coal fires are a global environmental catastrophe and are also severe disasters in the mining industry. They not only burn a large amount of coal resources, causing environmental disasters such as ground subsidence and air pollution, but also often induce secondary disasters such as gas/dust explosions, seriously threatening life and safe production. Coal fires, mainly initialized by the spontaneous combustion of coal, are characterized by concealed fire sources, easy reignition, dynamic movement, and complex air leakage channels. It is a challenging task to locate underground fire sources, and to actively prevent and control this hazard. One of the biggest obstacles results from the fact that coal fires are a complicated dynamic process coupled by chemical reaction, heat and mass transfer, as well as rock/soil mechanics. Therefore, it is important to investigate how coal ignites and coal fire spreads widely and persistently underground using experimental, numerical, and modelling approaches.

This Special Issue aims to reveal the disaster-causing mechanism of coal fires from the perspective of simulation, experimentation and modeling, to elucidate the spatio-temporal evolution process of the occurrence and development of underground coal fires, and to provide a theoretical basis for the accurate prevention and control of coal fires. Topics of interest include, but are not limited to, the following:

  1. Mechanism of coal fires/spontaneous combustion;
  2. Early warning method of coal fires/spontaneous combustion;
  3. Judgment theory of multi-information fusion in dangerous areas;
  4. Prevention and control technology of coal fires/spontaneous combustion;
  5. Extraction and utilization of thermal energy from underground coal fires.

We look forward to receiving your contributions.

Dr. Wei Liu
Dr. Zeyang Song
Dr. Caiping Wang
Dr. Bobo Shi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fire is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • coal spontaneous combustion
  • self-heating of coal
  • smoldering coal fires
  • coal-fire propagation
  • fire prevention material
  • monitoring and early warning
  • coal fire prevention
  • coal mine safety
  • thermal energy extraction and utilization

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

20 pages, 11385 KiB  
Article
Mitigating Coal Spontaneous Combustion Risk within Goaf of Gob-Side Entry Retaining by Roof Cutting: Investigation of Air Leakage Characteristics and Effective Plugging Techniques
by Zhipeng Zhang, Xiaokun Chen, Zhijin Yu, Hao Sun, Dewei Huang, Jiangle Wu and Hao Zhang
Fire 2024, 7(3), 98; https://0-doi-org.brum.beds.ac.uk/10.3390/fire7030098 - 20 Mar 2024
Viewed by 684
Abstract
Relative to conventional coal pillar retention mining technology (the 121 mining method), gob-side entry retaining by cutting roof (the 110 mining method), a non-pillar mining technique, efficiently addresses issues like poor coal resource recovery and significant rock burst damage. Nonetheless, the open-type goaf [...] Read more.
Relative to conventional coal pillar retention mining technology (the 121 mining method), gob-side entry retaining by cutting roof (the 110 mining method), a non-pillar mining technique, efficiently addresses issues like poor coal resource recovery and significant rock burst damage. Nonetheless, the open-type goaf created by 110 mining techniques suffers from complex and significant air leaks, increasing the likelihood of coal spontaneous combustion (CSC) within the gob area. To address the CSC problem caused by complex air leakage within the goaf of gob-side entry retaining by roof cutting, this study takes the 17202 working face of Dongrong Second Coal Mine as the object of study. Field tests and simulation calculations are conducted to research the features of air leakage and the distribution of the oxidation zone within the goaf. Subsequently, plugging technology with varying plugging lengths is proposed and implemented. The tests and simulations reveal that the airflow migration within the goaf follows an L-shaped pattern, while air leakage primarily originates from gaps found in the gob-side entry retaining wall. The amount of air leaking into the gob-side entry retaining section is 171.59 m3/min, which represents 7.3% of the overall airflow. The maximum oxidation zone within the goaf ranges from 58.7 m to 151.8 m. After the air leakage is blocked, the airflow migration route within the goaf is transformed into a U-shaped distribution, and the maximum oxidation zone range changes from 42.8 m to 80.7 m. Engineering practice demonstrates that after air leakage plugging, the total air leakage volume within the gob-side entry retaining section significantly reduces to 20.59 m3/min, representing only 0.78% of the total airflow volume. This research provides reference on how to prevent the occurrence of CSC in similar mine goafs. Full article
(This article belongs to the Special Issue Simulation, Experiment and Modeling of Coal Fires)
►▼ Show Figures

Figure 1

16 pages, 7002 KiB  
Article
Optimization of the Monitoring of Coal Spontaneous Combustion Degree Using a Distributed Fiber Optic Temperature Measurement System: Field Application and Evaluation
by Fengjie Zhang, Dongyang Han, Yueping Qin, Shiyang Peng, Dawei Zhong, Fei Tang, Zhencai Xiang and Hao Xu
Fire 2023, 6(11), 410; https://0-doi-org.brum.beds.ac.uk/10.3390/fire6110410 - 26 Oct 2023
Cited by 2 | Viewed by 1347
Abstract
Coal spontaneous combustion (CSC) in gob not only leads to wasted resources and casualties, but also produces a lot of waste gas that pollutes the underground environment. Mastering the degree of CSC helps ensure that timely and effective control measures are taken. The [...] Read more.
Coal spontaneous combustion (CSC) in gob not only leads to wasted resources and casualties, but also produces a lot of waste gas that pollutes the underground environment. Mastering the degree of CSC helps ensure that timely and effective control measures are taken. The real-time and accurate monitoring of temperature, as the primary indicator of the extent of CSC, is difficult due to the harsh and hidden environment of gob, resulting in a reduced ability to anticipate and prevent CSC. In this work, a complete distributed optical fiber temperature sensing system (DTSS) set with strong anti-damage ability was developed. The optical cable is protected by internal parallel steel cables and external protective pipes, which greatly improve the system’s reliability and integrity when used in gob. During its application in the Wangyun Coal Mine, an abnormal temperature rise in gob was discovered in time, and the effect of inhibitor spraying was monitored and evaluated. The degree of CSC in the gob was accurately identified, which shows that the work of coal mining can be targeted. This work is expected to improve early warning capability to prevent the risk of CSC in gob, and has promising applications. Full article
(This article belongs to the Special Issue Simulation, Experiment and Modeling of Coal Fires)
►▼ Show Figures

Figure 1

18 pages, 4367 KiB  
Article
Study on Spontaneous Combustion Characteristics and Early Warning of Coal in a Deep Mine
by Caiping Wang, Yuxin Du, Yin Deng, Yu Zhang, Jun Deng, Xiaoyong Zhao and Xiadan Duan
Fire 2023, 6(10), 396; https://0-doi-org.brum.beds.ac.uk/10.3390/fire6100396 - 14 Oct 2023
Cited by 1 | Viewed by 1334
Abstract
Due to high stress, high ground temperature, high moisture, and other factors in deep mines, the risk of coal spontaneous combustion (CSC) is enhanced, seriously affecting the safety of coal mining. To achieve early prediction of spontaneous combustion in the No. 3 coal [...] Read more.
Due to high stress, high ground temperature, high moisture, and other factors in deep mines, the risk of coal spontaneous combustion (CSC) is enhanced, seriously affecting the safety of coal mining. To achieve early prediction of spontaneous combustion in the No. 3 coal seam at the Juye coalfield in the deep mine, this paper employs a temperature-programmed device to analyze the changing pattern of single-index gases and composite gas indices with temperature derived from the gas produced during csc. It also optimizes the index gas of coal sample spontaneous combustion. Simultaneously, the characteristics of coal temperature and a four-level warning indicator system for CSC are determined based on the analysis of indicator gas growth rate method, carbon-to-oxygen ratio, and the characteristics of the indicator gas. The composite index gases of the No. 3 coal seam in Juye coalfield are selected in the initial oxidation stage (Rco), accelerated oxidation stage (R1, G1), intense oxidation stage (R2, G1, G3), and oxidative decomposition stage (G3). This leads to the construction of a six-level warning system consisting of initial warning value, blue, yellow, orange, red, and black levels. Meanwhile, warning thresholds are also established. Full article
(This article belongs to the Special Issue Simulation, Experiment and Modeling of Coal Fires)
►▼ Show Figures

Figure 1

15 pages, 5771 KiB  
Article
Evaluation and Optimization of Multi-Parameter Prediction Index for Coal Spontaneous Combustion Combined with Temperature Programmed Experiment
by Xuefeng Xu and Fengjie Zhang
Fire 2023, 6(9), 368; https://0-doi-org.brum.beds.ac.uk/10.3390/fire6090368 - 21 Sep 2023
Cited by 1 | Viewed by 1031
Abstract
Coal spontaneous combustion (CSC) is a serious threat to the safe mining of coal resources, and the selection of suitable gas indicators to predict the CSC state is crucial for the prevention and control of coal mine fires. In this paper, the temperature-programmed [...] Read more.
Coal spontaneous combustion (CSC) is a serious threat to the safe mining of coal resources, and the selection of suitable gas indicators to predict the CSC state is crucial for the prevention and control of coal mine fires. In this paper, the temperature-programmed experiment of CSC was first carried out to analyze the gas components and compositions in the oxidative pyrolysis process of three coal samples (lignite, long-flame coal, and lean coal) with different coalification degrees. Subsequently, the spontaneous combustion tendency of these three coal samples was evaluated. Finally, through the variation of gas concentration, gas concentration ratio, and fire coefficient with coal temperature, the indicators suitable for predicting the spontaneous combustion of coal were preferred, and a multi-parameter indicator system was established to make a comprehensive judgment on the spontaneous combustion status of coal. The results show that coal rank is negatively correlated with oxygen consumption rate. The higher the coalification degree of coal, the slower the oxidation reaction and the later the characteristic temperature point appears. The lignite selected in this experiment is a type of coal that is more prone to spontaneous combustion than long-flame coal and poor coal, and the CO concentration, C2H6/CH4, and second fire coefficient R2 can be used as the main indicators for predicting CSC, while the other gases, olefin-alkane ratio and fire coefficient can be used as auxiliary indicators. To some extent, the research content can effectively and accurately determine the stage and degree of coal spontaneous combustion, which has a certain guiding role in predicting CSC. Full article
(This article belongs to the Special Issue Simulation, Experiment and Modeling of Coal Fires)
►▼ Show Figures

Figure 1

14 pages, 5454 KiB  
Article
The Effects of Solvent Extraction on the Functional Group Structure of Long-Flame Coal
by Jun Guo, Yanping Quan, Hu Wen, Xuezhao Zheng, Guobin Cai and Yan Jin
Fire 2023, 6(8), 307; https://0-doi-org.brum.beds.ac.uk/10.3390/fire6080307 - 10 Aug 2023
Cited by 1 | Viewed by 904
Abstract
The functional group structures of coal molecules are one of the most important factors affecting spontaneous combustion. However, it is difficult to determine the exact effects of such structures. Extraction technology is able to modify the functional groups in coal as a means [...] Read more.
The functional group structures of coal molecules are one of the most important factors affecting spontaneous combustion. However, it is difficult to determine the exact effects of such structures. Extraction technology is able to modify the functional groups in coal as a means of inhibiting spontaneous combustion reactions. The present work extracted coal from the Caojiatan mine in northern Shaanxi, China, with various solvents. The extraction effectiveness of these solvents was found to decrease in the order of dioctyl sulfosuccinate (AOT) > water > n-hexane > cyclohexane + AOT + ethanol > cyclohexane > ethanol > methanol. With the exception of the AOT, the concentration of functional groups in the extracted coal was decreased compared with that in a control specimen extracted using only water. Ethanol, n-hexane, and methanol provided the optimal extraction efficiencies in terms of capturing coal molecules with aromatic structures, aliphatic structures, and oxygen-containing groups, respectively. The results of this work are expected to assist in future research concerning the extraction of coal molecules with specific functional groups. This work also suggests new approaches to the active prevention and control of spontaneous combustion during the mining, storage, and transportation of coal. Full article
(This article belongs to the Special Issue Simulation, Experiment and Modeling of Coal Fires)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop