Owned by: China Association for Science and Technology
Sponsored by: China Coal Society
Published by: Springer Nature
About issue

The International Journal of Coal Science & Technology is a peer-reviewed open access journal. It focuses on key topics of coal scientific research and mining development, serving as a forum for scientists to present research findings and discuss challenging issues.


Coverage includes original research articles, new developments, case studies and critical reviews in all aspects of scientific and engineering research on coal, coal utilizations and coal mining. Among the broad topics receiving attention are coal geology, geochemistry, geophysics, mineralogy, and petrology; coal mining theory, technology and engineering; coal processing, utilization and conversion; coal mining environment and reclamation and related aspects.


The International Journal of Coal Science & Technology is published with China Coal Society, who also cover the publication costs so authors do not need to pay an article-processing charge.


The journal operates a single-blind peer-review system, where the reviewers are aware of the names and affiliations of the authors, but the reviewer reports provided to authors are anonymous.


  • A forum for new research findings, case studies and discussion of important challenges in coal science and mining development

  • Offers an international perspective on coal geology, coal mining, technology and engineering, coal processing, utilization and conversion, coal mining environment and reclamation and more

  • Published with the China Coal Society

Show More
Editors-in-Chief
Suping Peng, Shimin Liu
Managing Editor
Wanjie Wang
Associate Editors
Bo Hyun Kim, Dongjie Xue, Pedram Roghanchi, Wu Xiao, Zhiqiang Wu
Publishing model
Open Access. Learn about publishing OA with us
Home > Volumes and issues > Volume 5, issue 9

Comparative analysis of coal and coal-shale intrinsic factors affecting spontaneous combustion

Research Article

Open Access

Published: 12 September 2018

1 Accesses

International Journal of Coal Science & Technology Volume 5, 282-294, (2018)

Abstract

Coal and coal-shales tend to undergo spontaneous combustion under favourable atmospheric conditions. Spontaneous combustion liability index and intrinsic properties of coals and coal-shales varies between (above and below) coal seams. The spontaneous combustion liability index (obtained from the Wits-Ehac Index) and intrinsic properties (obtained from proximate, ultimate, and petrographic analysis) of fourteen samples representative of in situ coal (bituminous) and fourteen coal-shales obtained in Witbank coalfield, South Africa were experimentally studied. Comparative analysis of the relationships between the spontaneous combustion liability index and intrinsic properties of coals and coal-shales were established to evaluate their effects on self-heating potential. The intrinsic properties show linear relationship with spontaneous combustion liability and therefore, identifies the factors affecting spontaneous combustion of these materials. The influence of coal-shales intrinsic properties towards spontaneous combustion liability shows higher correlation coefficients than the coals. Both coals and coal-shales show inertinite maceral as major constituents than the vitrinite and liptinite macerals, hence the reactivity of inertinite macerals may show greater influence on spontaneous combustion liability. A definite positive or negative trends exists between the intrinsic properties and spontaneous combustion liability index. This research is part of a larger project which is considering the influence of intrinsic properties of coals and coal-shales on spontaneous combustion liability.

1.Introduction

Spontaneous combustion causes an increase in the temperature of a thermally segregated accumulation of coal or other combustible materials due to the chemical reactions between this material and oxygen (Davidson 1990). The low-temperature oxidation exists when the heat produced is absorbed by the surrounding environment (Kim and Sohn 2012). Spontaneous combustion of coal will eventually occur if nothing is done to minimize it (Onifade and Genc 2018c; Phillips et al. 2011). The liability of coal to spontaneous combustion is a function of the coal properties, geological, environmental and mining factors, which are in turn functions of various contributory factors (Smith and Glasser 2005).

The recent challenge faced by a number of coalfields in South Africa is spontaneous combustion of coals and coal-shales (Onifade et al. 2018; Onifade and Genc 2018d, e; Fig. 1), which frequently causes loss of revenue and at several intervals it has led to loss of precious resources, increase in production cost, loss of properties, and an increase in rehabilitation cost. Sedimentary rocks such as coals and coal-shales contain different volumes of organic and inorganic matter in which pore spaces are embedded in the solid together with carbon-rich matter (Alpern and de Sousa 2002; Dullien 1979; Onifade and Genc 2018e). This renders the rock to be permeable to water and air, and with the increased surface area, the organic materials may have reactive oxidation sites (Dullien 1979). Studies reported by Mastalerz et al. (2010), Restuccia et al. (2017) and Rumball et al. (1986) indicated that for coal-shale to experience self-heating, it may contain varying proportions of sulphur (forms of sulphur), organic matter, reactive nature and rank of associated coal. Research on spontaneous combustion of coal has been examined by Beamish and Blazak (2005), Falcon (2004), Genc and Cook (2015), Gouws and Wade (1989a, b), Kaymakci and Didari (2002), Panigrahi and Sahu (2004), Panigrahi and Sexana (2001) and etc. However, a detailed investigation on the relationships between intrinsic properties of coals and coal-shales towards spontaneous combustion is limited. There is limited information to compare and contrast the intrinsic properties and spontaneous combustion liability of coal-shales in relation to coals (Onifade et al. 2018; Onifade and Genc 2018d, e). For this study, selected experimental tests on coals and coal-shales intrinsic properties (moisture, ash, volatile matter, ash, maceral compositions, total sulphur and forms of sulphur and etc.) were carried out according to the procedures of the American Society for Testing and Materials (ASTM) and International Organization for Standardization (ISO). A broad understanding of the inherent characteristic of coal-shales in relation to coal properties may be used to provide reliable information on the causes of spontaneous combustion of coals and coal-shales.

Fig. 1
figure 1

a Spontaneous combustion of highwall and b effects of shale spontaneous combustion at at Khwezela Mine (Bokgoni Pit), Witbank, South Africa

2.Materials and methods

2.1 Sample collection and preparation

Samples of coal and coal-shale from four open cast mines in the Witbank Coalfield, South Africa using the ply sampling method were experimentally examined. A full description of sample and collections and preparation for both petrographic and chemical analyses tests is extensively described in the studies reported by Onifade and Genc (2018d, e).

2.2 Wits-Ehac tests

The Wits-Ehac Index has been developed to measure the spontaneous combustion liability of coal since the late 1980s and has been widely used in South Africa [Eroglu (1992), Genc et al. (2018), Genc and Cook (2015), Gouws and Wade (1989a, b), Onifade et al. (2018), Onifade and Genc (2018a, b, d), Uludag et al. (2001) and Wade (1989)]. Full details of the Wits-Ehac experimental procedure (Fig. 2a) are extensively explained in the studies reported by Wade et al. (1987) and Onifade and Genc (2018e). The index is calculated from the formula shown in Eq. (1) and MS Excel is used to calculate the stages and generates the thermogram (Fig. 2b).

$$ {\text{Wits{-}Ehac}}\;{\text{Index}} = \left( {{\text{Stage}}\;{\text{II}}\;{\text{slope/XPT}}} \right)*500 $$
(1)
Fig. 2
figure 2

a Schematic of the Wits-Ehac test apparatus setup (Wade et al. 1987). b Typical differential thermogram of a coal sample

3.Intrinsic properties and spontaneous combustion liability of coal and coal-shale samples

This study used the set criterion (Table 1) documented by Onifade and Genc (2018e) to evaluate and compare the linear relationships between the intrinsic properties and spontaneous combustion liability of coals and coal-shales. Full details of the statistical analysis is reported by Onifade and Genc (2018e). The data set is divided into dependent (Wits-Ehac Index) and independent (intrinsic properties obtained from proximate, ultimate, total and forms of sulphur and petrographic analysis) variables to enable simple interpretation and analyses. The R-squared values and the correlation coefficients were used to determine the trends of relationships between the intrinsic properties and the liability index (Tables 2, 3, 4, 5, 6).

Table 1 Criterion for factors influencing spontaneous combustion liability of coals and coal-shales (Onifade and Genc 2018e)

Category

Criterion

Remarks

1

Correlation coefficient/R-squared value between 0.95 and 1 or − 0.95 to − 1

Variable indicate a perfect positive or negative linear relationship

2

Correlation coefficient/R-squared value between 0.51 and 0.94 or − 0.51 to − 0.94

Variable indicate a strong positive or negative linear relationship

3

Correlation coefficient/R-squared value between 0.25 and 0.50 or − 0.25 to − 0.50

Variable indicate a moderate positive or negative linear relationship

4

Correlation coefficient/R-squared value between 0.1 and 0.24 or − 0.1 to − 2.24

Variable indicate a weak positive or negative linear relationship

5

Correlation coefficient/R-squared value less than 0.1 but not zero

Variable indicate a very weak positive or negative linear relationship

6

Correlation coefficient/R-squared value of zero

Variable indicate no linear relationship at all

Table 2 Relationships between independent (proximate and ultimate analysis, wt%-ad) and dependent variables for the coal samples

Independent variables

Range

Dependent variables

Correlation coefficients Wits-Ehac Index

R-squared values Wits-Ehac Index

Moisture

1.6–2.5

− 0.0637

0.0041

Volatile matter

16.7–26.9

0.5164

0.2666

Ash

13.7–48.4

− 0.6884

0.4739

Carbon

36.1–69.7

0.6572

0.4318

Hydrogen

2.55–4.21

0.6616

0.4377

Nitrogen

0.85–1.63

0.6945

0.4823

Oxygen

5.65–10.4

− 0.0686

0.0047

Sulphur

0.59–5.30

− 0.0115

0.0001

Pyritic sulphur

0.13–4.13

0.0869

0.0076

Sulphate sulphur

0.003–0.422

− 0.6422

0.4124

Organic sulphur

0.28–1.09

− 0.1787

0.0319

Table 3 Relationships between independent (petrographic analysis, vol%) and dependent variables for the coal samples

Independent variables

Range

Dependent variables

Correlation coefficients Wits-Ehac Index

R-squared values Wits-Ehac Index

Vitrinite and its group

   

 Total vitrinite

7.0–49.4

0.2591

0.0671

 Total vitrinite (mmf)

7.9–60.0

0.0874

0.0076

 Collotelinite

1.6–39.0

0.1481

0.0219

 Collotelinite (mmf)

1.7–44.4

0.0439

0.0019

 Collodetrinite

2.8–13.3

0.3944

0.1556

 Collodetrinite (mmf)

3.1–18.8

0.1725

0.0298

Inertinite and its group

 

 Total inertinite

11.7–84.6

0.1679

0.0282

 Total inertinite (mmf)

36.9–90.1

− 0.0735

0.0054

 Fusinite

0.8–7.6

0.5663

0.3207

 Fusinite (mmf)

1.2–12.1

0.4392

0.1929

 Secretinite

0.8–6.0

0.1284

0.0165

 Secretinite (mmf)

1.1–6.7

0.0064

0.0001

 Reactive semifusinite

0.2–7.7

0.1993

0.0397

 Reactive semifusinite (mmf)

0.3–8.4

0.1874

0.0351

 Inert semifusinite

5.1–41.4

0.2518

0.0634

 Inert semifusinite (mmf)

7.4–43.8

0.0882

0.0078

 Total semifusinite

5.5–43.4

0.2898

0.0840

 Total semifusinite (mmf)

14.1–45.9

0.1460

0.0213

 Reactive inertodetrinite

0–4.6

0.1353

0.0183

 Reactive inertodetrinite (mmf)

0–45.7

0.1232

0.0152

 Inert inertodetrinite

3.2–47.1

− 0.1111

0.0123

 Inert inertodetrinite (mmf)

10.0–50.9

− 0.3103

0.0963

 Total inertodetrinite

3.2–49.4

− 0.0894

0.0080

 Total inertodetrinite (mmf)

10–55.5

− 0.2768

0.0766

Liptinite and its group

 

 Total liptinite

0.6–3.8

0.0280

0.0008

 Total liptinite (mmf)

0.6–4.4

− 0.2228

0.0496

 Sporinite

0.4–3.4

0.2321

0.0539

 Sporinite (mmf)

0.7–3.8

0.2116

0.0448

Table 4 Relationships between independent (total reactive maceral, total maceral and total mineral matter-vol%) and dependent variables for the coal samples

Independent variables

Range

Dependent variables

Correlation coefficients Wits-Ehac Index

R-squared values Wits-Ehac Index

Total reactive maceral

11.2–53.0

0.3148

0.0991

Total reactive maceral (mmf)

12.8–64.4

0.1229

0.0151

Total maceral

31.7–94.6

0.3785

0.1433

Total mineral matter

5.4–68.4

− 0.3782

0.1430

Table 5 Relationships between independent (proximate and ultimate analysis, wt%-ad) and dependent variables for the coal-shale samples

Independent variables

Range

Dependent variables

Correlation coefficients Wits-Ehac Index

R-squared values Wits-Ehac Index

Moisture

0.8–1.7

0.7715

0.5952

Volatile matter

8.5–16.6

0.6389

0.4082

Ash

51.5–88.7

− 0.8352

0.6975

Carbon

2.66–33.7

0.7962

0.6339

Hydrogen

0.75–2.87

0.5795

0.3358

Nitrogen

0.08–0.96

0.6446

0.4155

Oxygen

5.01–11.85

− 0.3212

0.1031

Total sulphur

0.12–6.90

0.5791

0.3353

Pyritic sulphur

0.04–4.26

0.5704

0.3254

Sulphate sulphur

0.003–0.45

0.5365

0.2878

Organic sulphur

0.05–2.19

0.5933

0.3519

Table 6 Relationships between independent (petrographic analysis-vol%) and dependent variables for the coal-shale samples

Independent variables

Range

Dependent variables

Correlation coefficients Wits-Ehac Index

R-squared values Wits-Ehac Index

Vitrinite and its group

 

 Total vitrinite

0.4–8.4

0.1230

0.0151

 Total vitrinite (mmf)

2.4–39.3

− 0.2632

0.0693

 Collotelinite

0–4.2

0.2206

0.0487

 Collotelinite (mmf)

0–19.6

− 0.1073

0.0115

 Collodetrinite

0–2.6

0.2105

0.0443

 Collodetrinite (mmf)

0–12.1

− 0.2330

0.0543

Inertinite and its group

 

 Total inertinite

4.9–46.1

0.7360

0.5418

 Total inertinite (mmf)

44.9–91.7

0.2143

0.0459

 Fusinite

0–4.0

− 0.4038

0.2194

 Fusinite (mmf)

0–16.9

− 0.5898

0.3479

 Secretinite

0–1.8

0.6003

0.3604

 Secretinite (mmf)

0–4.8

0.3304

0.1092

 Reactive semifusinite

0–1.1

− 0.2795

0.0781

 Reactive semifusinite (mmf)

0–4.6

− 0.3862

0.1492

 Inert semifusinite

0.2–8.0

0.7688

0.5910

 Inert semifusinite (mmf)

1.3–40.7

0.2970

0.0882

 Total semifusinite

0.2–8.0

0.7776

0.6046

 Total semifusinite (mmf)

1.3–40.7

0.2970

0.0882

 Reactive inertodetrinite

0–3.6

0.3292

0.1083

 Reactive inertodetrinite (mmf)

0–18.5

− 0.0829

0.0069

 Inert inertodetrinite

1.9–34.8

0.7460

0.5565

 Inert inertodetrinite (mmf)

14.8–76.6

0.2480

0.0615

 Total inertodetrinite

3.3–35.2

0.7749

0.6005

 Total inertodetrinite (mmf)

25.2–80.5

0.2367

0.0560

Liptinite and its group

 

 Total liptinite

0.4–5.5

0.3360

0.1129

 Total liptinite (mmf)

2.6–25.0

− 0.0113

0.0001

 Sporinite

0.4–5.5

0.3463

0.1199

 Sporinite (mmf)

2.6–25.0

0.0059

0.0001

The overall database involved the Wits-Ehac Index and intrinsic properties of 14 coals and 14 coal-shales. Data were analysed using the set criterion. Tables 2, 3, 4, 5 and 6 present the results of the linear regression analyses for both the coal and coal-shale samples.

The experimental data were analysed with the use of a linear regression analysis to establish whether any of the intrinsic properties were linearly correlated to the spontaneous combustion liability index. The relationships between independent and dependent variables using the correlation coefficients and R-squared values are seen in Tables 2, 3, 4, 5 and 6. The linear regression analysis identifies linear relationships between dependent and independent variables. The analysis of variable pairs (dependent and independent) indicated consistent trends, i.e. an increase in the liability index with increasing volatile matter and vice versa for these materials. Coals and coal-shales show inertinite as the major constituent among the maceral (Tables 3, 6). Weak linear relationships were noted between the Wits-Ehac Index and petrographic properties (total vitrinite, total inertinite, and total liptinite) for both coals and coal-shales (Table 7).

Table 7 Relationships between independent (total reactive maceral, total maceral analysis and total mineral matter-vol%) and dependent variables for the coal-shale samples

Independent variables

Range

Dependent variables

Correlation coefficients Wits-Ehac Index

R-squared values Wits-Ehac Index

Total reactive maceral

1.6–12.8

0.2923

0.0850

Total reactive maceral (mmf)

9.6–63.9

− 0.2552

0.0651

Total maceral

9.9–53.1

0.7653

0.5857

Total mineral matter

46.9–90.1

− 0.7653

0.5857

From Tables 2, 3, 4, 5 and 6, according to the criterion set, contents of volatile matter, 0.5164; ash, − 0.6884; carbon, 0.6572; hydrogen, 0.6616; nitrogen, 0.6945; sulphate sulphur, 0.6422; and inertinite macerals-fusinite, 0.5663; with strong effects on self-heating potential are factors affecting spontaneous combustion liability of coals, while contents of moisture, 0.7715; volatile matter, 0.6389; ash, − 0.8352; carbon, 0.7962; hydrogen, 0.5795; nitrogen, 0.6446; total sulphur, 0.5791; and its forms [pyritic, 0.5704; sulphate, 0.5365; and organic sulphur, 0.5933], total inertinite, 0.7360; and its constituents [fusinite, mmf, 0.5898; total semifusinite, 0.7776; secretinite, 0.6003; and total inertodetrinite, 0.7749; total maceral, 0.7653; and mineral matter, − 0.7653] with strong effects on self-heating potential are factors affecting spontaneous combustion liability of coal-shales. Ash, some macerals and mineral matter contents for both coals and coal-shales show negative trends. Coal-shale intrinsic properties show better linear relationships to spontaneous combustion liability than the coals and hence, identifies the intrinsic properties influencing these materials toward spontaneous combustion. Despite the low contents of moisture, volatile matter, carbon, hydrogen, nitrogen and total sulphur in coal-shales compared to coals, the coal-shales shows significant correlation to the spontaneous liability index than the coals. The influence of intrinsic properties on spontaneous combustion liability of coals and coal-shales using statistical analysis has been extensively reported in a study by Onifade and Genc (2018e). The study created models which combined the effects of the main intrinsic properties affecting spontaneous combustion liability of these materials for predictive purposes (Onifade and Genc 2018e).

From Figs. 3, 4, 5, 6, 7, 8, 9 and 10, there is an increase in contents of moisture, volatile matter, ash, carbon, total sulphur, calculated oxygen, pyritic sulphur, organic sulphur, inertinite macerals and mineral matter in both coals and coal-shales. However, this appears to be more noticeable for coal-shales than for the coals, while coals seem to be more distinct in terms of hydrogen, nitrogen and sulphate sulphur content than coal-shales. It was found that spontaneous combustion liability of coals and coal-shales could be affected by varying proportions of one or more intrinsic properties.

Fig. 3
figure 3

Influence of proximate and ultimate analysis on spontaneous combustion liability of coals

Fig. 4
figure 4

Influence of vitrinite and its group on spontaneous combustion liability of coals

Fig. 5
figure 5

Influence of total inertinite and its group on spontaneous combustion liability of coals

Fig. 6
figure 6

Influence of total liptinite and its group, total reactive maceral, total macerals, and mineral matter on spontaneous combustion liability of coals

Fig. 7
figure 7

Influence of proximate and ultimate analysis on spontaneous combustion liability of coal-shales

Fig. 8
figure 8

Influence of total vitrinite and its group on spontaneous combustion liability of coal-shales

Fig. 9
figure 9

Influence of total inertinite and its group on spontaneous combustion liability of coal-shales

Fig. 10
figure 10

Influence of total liptinite, sporinite, total reactive macerals, total macerals, and mineral matter on spontaneous combustion liability of coal-shales

4.Conclusion

This study has evaluated, compared and identified the relationships between intrinsic properties and spontaneous combustion liability of coals and coal-shales. The influence of selected intrinsic properties towards spontaneous combustion liability indicated a better linear relationship for the coal-shales than the coals, thus they may have a greater effect to cause spontaneous combustion of coal-shales. The linear regression analysis shows that among the macerals, the inertinite macerals indicated a stronger linear relationship to spontaneous combustion liability. Thus, the spontaneous combustion liability index of coals and coal-shales may be influenced by the proportion of each maceral composition. A definite positive or negative correlation coefficient exists between the intrinsic factors and spontaneous combustion liability index. This paper has established a comparative analysis between the dependence of spontaneous combustion liability index on intrinsic properties of selected coal-shales and associated coals. The results obtained from the petrographic and chemical analyses may be used as a tool to predict spontaneous combustion liability and may serve as of reference when comparing characteristics of coals and coal-shales from different coalfields.

References

[1] Alpern B, Lemo de Sousa MJ (2002) Documented international enquiry on solid sedimentary fossil fuels, coal: definitions, classification, reserves-resources, and energy potential. Int J Coal Geol 50:3–41
[2] Beamish BB, Blazak DG (2005) Relationship between ash content and R70 self-heating rate of callide coal. Int J Coal Geol 64:126–132
[3] Davidson RM (1990) Natural oxidation of coal. IEACR/29, London, UK, IEA Clean Coal Centre, pp 76
[4] Dullien F (1979) Porous media fluid transport and pore structure. Academic Press, Cambridge, p 79
[5] Eroglu HN (1992) Factors affecting spontaneous combustion liability index. Ph.D. Thesis, University of the Witwatersrand Johannesburg, South Africa, pp 157–158
[6] Falcon RMS (2004) The constitution of coal and its inherent capacity to self-heat as applied to an integrated spontaneous combustion risk. In: Final proceedings of the international conference in spontaneous combustion. Fossil Fuel Foundation and SABS, Johannesburg, South Africa, pp 8–9
[7] Genc B, Cook A (2015) Spontaneous combustion risk in South African coalfields. J S Afr Inst Min Metall 115:563–568
[8] Genc B, Onifade M, Cook A (2018) Spontaneous combustion risk on South African coalfields: Part 2. In: Proceedings of the 21st international coal congress of Turkey “ICCET” April 11–13, 2018, Zonguldak, Turkey, pp 13–25
[9] Gouws MJ, Wade L (1989a) The self-heating liability of coal: predictions based on simple indices. Min Sci Technol 9:75–80
[10] Gouws MJ, Wade L (1989b) The self-heating liability of coal: predictions based on composite indices. Min Sci Technol 9:81–85
[11] Kaymakci E, Didari V (2002) Relations between coal properties and spontaneous combustion parameters. Turk J Eng Environ Sci 26(1):59–64
[12] Kim CJ, Sohn CH (2012) A novel method to suppress spontaneous ignition of coal stockpiles in a coal storage yard. Fuel Process Technol 100:73–83
[13] Mastalerz M, Drobniak A, Hower JC, O’keefe JMK (2010) Spontaneous combustion and coal petrology, In: Stracher GB, Sokol EE, Prakash A (eds) Coal and fires: a global perspective. Coal-Geology and Combustion, vol 1, pp 47–62
[14] Onifade M, Genc B (2018a) Establishing relationship between spontaneous combustion liability indices. In: Proceedings of the 21st international coal congress of Turkey “ICCET” April 11–13, Zonguldak, Turkey, pp 1–11
[15] Onifade M, Genc B (2018b) Prediction of the spontaneous combustion liability of coal and coal-shale using statistical analysis. Society of mining professors, 6th regional conference, March 12–13, Johannesburg, South Africa, pp 63–82
[16] Onifade M, Genc B (2018c) A review of spontaneous combustion studies-South African context. Int J Min Reclam Environ. https://doi.org/10.1080/17480930.2018.1466402
[17] Onifade M, Genc B (2018d) Spontaneous combustion of coals and coal-shales. Int J Min Sci Technol. https://doi.org/10.1016/j.ijmst.2018.05.013
[18] Onifade M, Genc B (2018e) Modelling spontaneous combustion liability of carbonaceous materials. Int J Coal Sci Technol 5(2):191–212. https://doi.org/10.1007/s40789-018-0209-2
[19] Onifade M, Genc B, Carpede A (2018) A new apparatus to establish the spontaneous combustion propensity of coals and coals. Int J Min Sci Technol. https://doi.org/10.1016/j.ijmst.2018.05.012
[20] Panigrahi DC, Sahu HB (2004) Classification of coal seams with respect to their spontaneous heating susceptibility: a neural network approach. Geotech Geol Eng 22:457–476
[21] Panigrahi DC, Saxena VK (2001) An investigation into spontaneous combustion characteristics of coals using differential thermal analysis. In: Proceedings of the 7th international mine ventilation congress, Krakow, Poland, 17–22 June 2001. EMAG, Cracow, pp 495–500
[22] Phillips H, Chabedi K, Uludag S (2011) Best practice guidelines for South African Collieries, Coaltech report, pp 1–129
[23] Restuccia F, Ptak N, Rein G (2017) Self-heating behaviour and ignition of shale rock. Combust Flame 176:213–219
[24] Rumball JA, Thomber MR, Davidson LR (1986) Study of chemical reactions leading to spontaneous combustion of pyritic black shale at MT Whaleback, Western Australia. Western Australia, Symposia series, Australasian Institute of Mining and Metallurgy, pp 133–139
[25] Smith MA, Glasser D (2005) Spontaneous combustion of carbonaceous stockpiles. Part II: factors affecting the rate of the low-temperature oxidation reaction. Fuel 84(9):1161–1170
[26] Uludag S, Phillips HR, Eroglu HN (2001) Assessing spontaneous combustion risk in South African coal mining by using a GIS tool. In: 17th International mining conference and exhibition, Turkey, pp 243–249
[27] Wade L (1989) The propensity of South African coals to spontaneously combust. Ph.D. Thesis, Department of Mining Engineering, University of the Witwatersrand, Johannesburg, pp 162–166
[28] Wade L, Gouws MJ, Phillips HR (1987) An apparatus to establish the spontaneous combustion propensity of South African coals. In: Proceedings of the symposium on safety in coal mines, CSIR, Pretoria, South Africa, pp 7.1–7.2

About this article

Cite this article

Onifade, M., Genc, B. Comparative analysis of coal and coal-shale intrinsic factors affecting spontaneous combustion.Int J Coal Sci Technol 5, 282–294 (2018).
  • Received

    05 June 2018

  • Revised

    25 July 2018

  • Accepted

    01 September 2018

  • Issue Date

    September 2018

  • DOI

    https://doi.org/10.1007/s40789-018-0222-5

  • Share this article

    Copy to clipboard

For Authors

Explore