The effect of ventilation on spontaneous heating of coal

Yuan, Liming; Smith, Alex C.

doi:10.1016/j.jlp.2011.07.007

Cited by 86 publications

(24 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Table 2 shows activation energies, minimum self-heating temperatures (SHT) and relative self-heating tendencies for the three coals. The activation energy of coal is measured using the heat release method as described in a previous publication (Yuan & Smith, 2012). The SHT is a measure of a coal’s reactivity, and is calculated based on the method established by Smith and Lazzara (1987) using coal analysis data.…”

Section: Methodsmentioning

confidence: 99%

Experimental study on CO and CO2 emissions from spontaneous heating of coals at varying temperatures and O2 concentrations

Yuan

Smith

2013

Journal of Loss Prevention in the Process Industries

Self Cite

View full text Add to dashboard Cite

Laboratory experiments were conducted to investigate carbon monoxide (CO) and carbon dioxide (CO2) emissions from spontaneous heating of three U.S. coal samples in an isothermal oven at temperatures between 50 and 110 °C. The oxygen (O2) concentration of an oxygen/nitrogen (N2) mixture flowing through the coal sample was 3, 5, 10, 15, and 21%, respectively. The temperature at the center of the coal sample was continuously monitored, while the CO, CO2, and O2 concentrations of the exit gas were continuously measured. The results indicate that the CO and CO2 concentrations and the CO/CO2 ratio increased when the initial temperature was increased. As the inlet O2 concentration increased, the CO and CO2 concentrations increased, while the CO/CO2 ratios tended to converge to the same value. The ratio of CO/CO2 was found to be independent of coal properties, approaching a constant value of 0.2. The maximum CO production rate correlated well with the maximum coal temperature rise. The apparent order of reaction for coal oxidation was estimated to be between 0.52 and 0.72. The experimental results in this study could be used for early detection and evaluation of a spontaneous heating in underground coal mines.

show abstract

Section: Methodsmentioning

confidence: 99%

Experimental study on CO and CO2 emissions from spontaneous heating of coals at varying temperatures and O2 concentrations

Yuan

Smith

2013

Journal of Loss Prevention in the Process Industries

Self Cite

View full text Add to dashboard Cite

show abstract

“…The value of the apparent order of the reaction, n , in low-temperature oxidation studies of coal and other carbonaceous materials has been shown to vary from ~0.5 to 1.0 (Carras and Young, 1994) and is about 0.61 for US coals (Schmidt and Elder, 1940). The activation energy and pre-exponential factor for the coal were measured in laboratory-scale experiments as described elsewhere (Yuan and Smith, 2011). The activation energy, pre-exponential factor and other kinetic and physical properties for the coal are listed in Table 1.…”

Section: Modelling Of Spontaneous Heating Of Coalmentioning

confidence: 99%

CFD modelling of sampling locations for early detection of spontaneous combustion in long-wall gob areas

Yuan¹,

Smith²

2012

IJMME

Self Cite

View full text Add to dashboard Cite

In this study, computational fluid dynamics (CFD) modeling was conducted to optimize gas sampling locations for the early detection of spontaneous heating in longwall gob areas. Initial simulations were carried out to predict carbon monoxide (CO) concentrations at various regulators in the gob using a bleeder ventilation system. Measured CO concentration values at these regulators were then used to calibrate the CFD model. The calibrated CFD model was used to simulate CO concentrations at eight sampling locations in the gob using a bleederless ventilation system to determine the optimal sampling locations for early detection of spontaneous combustion.

show abstract

“…Significant research has been conducted on fire and explosion caused by methane gas and coal-dust in underground coal mines and coal stockpiles (Brooks et al 1988;Smith and Du Plessis 1999;Kissell et al 2007;Brune et al 2007;Yuan and Smith 2012;Chalmers 2013). However, only a few of articles mention explosion in CRT.…”

Section: Introductionmentioning

confidence: 99%

Analysis of explosion risk factor potential on coal reclaim tunnel facilities by modified analytical hierarchy process

Widodo

Sulistianto

Ihsan

2018

Int J Coal Sci Technol

View full text Add to dashboard Cite

This study focused on developing a risk assessment method for explosion at a coal reclaim tunnel (CRT) facility. The method was developed based on an analytical hierarchy process (AHP), which is an expert system that quantifies the factors of explosion incidents, based on events and hierarchies. In this paper, the proposed model was modification from original AHP model, specifically modifying the structure from ''alternative's results'' to ''total risk-rating's results''. The total risk-rating is obtained by summing up risk-rating of each factor, where the risk-rating is a multiplication product of the risk value by the AHP weighted value. To support decision-making using the expert system, data on the real conditions of the CRT were collected and analyzed. A physical modeling of the CRT with laboratory-scale experiments was carried out to show the impact of a ventilation system in CRT on diluting the methane gas and coal dust, in order to support the quantification of AHP risk value. The criteria to evaluate the risk of explosion was constructed from six components that are: fuel, oxygen, ignition, confinement, dispersion, and monitoring system. Those components had fifty-two factors that serve as sub-components (root causes). The main causes of explosion in CRT were found to be: mechanical ventilation failure and abnormal ventilation, breakdown of monitoring system, and coal spontaneous-combustion. Assessments of two CRT facilities at Mine A and Mine B were carried out as a case study in order to check the reliability of the developed AHP method. The results showed that the risk rating of Mine A was classified as high and Mine B was classified as medium, which is in a good agreement with the site conditions.

show abstract

The effect of ventilation on spontaneous heating of coal

Cited by 86 publications

References 12 publications

Experimental study on CO and CO2 emissions from spontaneous heating of coals at varying temperatures and O2 concentrations

Experimental study on CO and CO2 emissions from spontaneous heating of coals at varying temperatures and O2 concentrations

CFD modelling of sampling locations for early detection of spontaneous combustion in long-wall gob areas

Analysis of explosion risk factor potential on coal reclaim tunnel facilities by modified analytical hierarchy process

Contact Info

Product

Resources

About