Development of Regression Models for Assessing Fire Risk of Some Indian Coals

Автор: Devidas S. Nimaje, D.P. Tripathy, Santosh Kumar Nanda

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 2 vol.5, 2013 года.

Бесплатный доступ

Spontaneous combustion of coals leading to mine fires is a major problem in Indian coal mines that creates serious safety and mining risk. A number of experimental techniques based on petrological, thermal and oxygen avidity studies have been used for assessing the spontaneous heating liability of coals all over the world. Crossing point temperature (CPT) is one of the most common methods in India to assess the fire risk of coal so that appropriate strategies and effective action plans could be made in advance to prevent occurrence and spread of fire and hence minimize coal loss. In this paper, the spontaneous heating risks of some of the Indian coals covering few major coalfields were assessed using CPT apparatus. Statistical analysis was carried out between CPT and the proximate analysis parameters and it was found that the Mixture Surface Regression (MSR) model was more effective and gave very good residual values as compared to the polynomial and simple multiple regression models. The performance of Anderson-Darling testing was done between the prediction results of MSR model and measured value of CPT showed that the residual follows normal distribution hence justifies the suitability of model for the prediction of spontaneous heating liability of coal.

Еще

Spontaneous Combustion, Crossing Point Temperature, Proximate Analysis, Coal

Короткий адрес: https://sciup.org/15010365

IDR: 15010365

Список литературы Development of Regression Models for Assessing Fire Risk of Some Indian Coals

  • http://www.coal.nic.in/welcome.html- Coal: Choice for Indian energy.
  • Tripathy D.P. and Pal B.K. Spontaneous heating susceptibility of coals-Evaluation based on experimental techniques. Journal of Mines, Metals and Fuels, Vol. 49, July 2001, pp. 236-243.
  • J Beamish B.B. and Blazak D.G. Relationship between ash content and R70 self-heating rate of Callide coal. International Journal of Coal Geology, Vol. 64, 2005, pp. 126-132.
  • Chen X. D. and Chong L.V. Several important issues related to the crossing-point temperature (CPT) method for measuring self-ignition kinetics of combustible solids. Process Safety and Environmental Protection, 1998, pp. 3-90.
  • Kucuk A., Kadıoglu Y. and Gulaboglu M. S. A study of spontaneous combustion characteristics of Turkish lignite: particle size, moisture of coal, humidity of air. Combustion and Flame, Vol. 133, 2003, pp. 255–261.
  • Nugroho Y.S., Mcintosh A.C. and Gibbs B.M. Using the crossing point method to assess the self-heating behavior of Indonesian coals. Proceedings, International symposium on combustion/the combustion institute, 1998, pp. 2981-2989.
  • Ogunsola O.I. and Mikula R.J. A study of spontaneous combustion characteristics of Nigerian coals. Fuel, Vol. 70, Feb. 1991, pp. 258-261.
  • Xuyao Q., Wang D., Milke J. A. and Zhong X. Crossing point temperature of coal. Mining Science and Technology (China), Vol.21, 2011, pp. 255-259.
  • Zubicek Vaclav. Assessment of susceptibility of coal to spontaneous combustion in OKR. GeoScience Engineering, Vol. LIV, No.4, 2008, pp. 1-9.
  • Ramlu M.A. Mine disasters and mine rescue, Oxford and IBH Publishing Co., New Delhi, 2007.
  • I.S. (Indian Standard): 436 (Part I/Section I) – 1964, Method for sampling of coal and coke: sampling of coal, Manual sampling. Bureau of Indian Standards, New Delhi, pp. 3-23.
  • I.S. (Indian Standard): 1350 (Part-I) – 1984, Methods of Test for Coal and Coke: Proximate Analysis. Bureau of Indian Standards, New Delhi, pp. 3-28.
  • Mahadevan V. and Ramlu M. A. Fire risk rating of coal mines due to spontaneous heating. Journal of Mines, Metals and Fuels, Aug. 1985, pp. 357-362.
  • Hill, T. and Lewicki, P. Statistics: Methods and Applications. StatSoft, Tusla, OK, 2007.
  • Shirley Dowdy, Stanley Weardon and Daniel Chilko, Statistics for Research, John Wiley & Sons, USA, 2004.
Еще
Статья научная