Regression Modeling and Analysis of Design Parameters of Coal Bunkers for Thermal Power Stations

摘要

By ensuring reliable flow and efficiency, the JENIKE shear cell method has contributed a great part to today's high-level designs of silos and bunkers. The authors of this paper are convinced that the analytical evaluation of design parameters by means of regression Modeling and analysis will -to some degree - have a similar positive effect on silo and bunker design as the JENIKE method. The flow characteristics of fifteen available Indian coals used in thermal power stations for the past 20 years are analyzed. The properties - such as bulk density, moisture content, effective angle of internal friction and kinematic angle of wall friction - are fitted into a linear regression model and their correlations with the design parameters, e.g. outlet diameter of bunkers and hopper half angle, are determined. This paper concludes by exploring the correlations between the design parameters of mass-flow bunkers and analytical variables.