Dey, S. and Saini, Manoj Kumar and Narayan, J.P. and Choudhury, Nandita (2012) Prediction of gross calorific value of Indian non-caking coals on the basis of ash and moisture. Journal of Mines, Metals & Fuels, 60 (1&2). pp. 31-38. ISSN 0022-2755

Full text not available from this repository. (Request a copy)


India is endowed with a vast reserve of coals but out of this approximately 87 per cent are high volatile non-caking coals which are mainly used in thermal power plant. These coals span from sub-bituminous to bituminous range and have wide range of ash content. While proximate analysis gives a preliminary insight of the coal, gross calorific value (GCV) is an important parameter which is being routinely used at the power stations for assessing the heat rate, efficiency etc. GCV can be experimentally determined but several correlations have been developed to estimate the GCV from coal quality parameters. Some of these are very complex and require detailed analysis of coal to know the GCV. The simplest correlation was developed by Prof. B.K. Mazumdar, based on moisture and ash only which is often being used by different end users. However, application of this formula particularly to high ash Indian coals of different regions that are currently being produced show wide deviations from the experimental values. In this paper an attempt has been made to modify the existing formula based on ash and moisture only by two different approaches by analyzing a large data set generated in the laboratory. The relative accuracy of the proposed formulae is significantly higher than that of the existing one and may be used to have a reliable estimate of GCV from the two basic coal quality parameters.

Item Type: Article
Subjects: Resource Quality Assessment and Coal Petrology
Depositing User: Dr. Satyendra Kumar Singh
Date Deposited: 13 Apr 2012 06:45
Last Modified: 13 Apr 2012 06:45

Actions (login required)

View Item View Item