Manish Gupta
Combustion Research Lab, Department of Mechanical Engineering, Indian Institute of
Technology Delhi, Hauz Khas, New Delhi 110016
Sangeeta Kohli
Combustion Research Lab, Department of Mechanical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India
Anjan Ray
Combustion Research Lab, Department of Mechanical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016
New correlations have been developed on dry ash-free basis
using only proximate analysis or combination of both ultimate
and proximate analysis. In this regard, 146 different biomass
residues were selected for which consistent data on proximate
analysis, ultimate analysis, and HHV are available in the open
literature. The available values are converted into dry ash-free basis to develop linear and non-linear predictive models.
Multilinear regression method is used to create the required
correlations as HHVdaf=ƒ1 (VM); HHVdaf =ƒ2 (C); HHVdaf =ƒ3 (H); HHVdaf =ƒ4 (C, H); HHVdaf =ƒ5 (VM, C); HHVdaf =ƒ6 (VM, H); and HHVdaf =ƒ7 (VM, C, H). The correlation accuracy was tested by considering various statistical parameters such as average absolute error (AAE), standard deviation of error (SDerr), coefficient of determination, and maximum absolute
error. AAE is estimated in the range of 4.05 - 5.33 %. The
standard deviation of error is lower than the previous analysis, which is about 1.2 MJ/kg. The coefficient of determination is estimated to be in the range of 0.03 - 0.42. It is found that the stated statistical parameters for the correlations developed on dry ash-free basis are much more favourable than those for the correlations available in the literature.