Authors: Deepak Chandra Sau, Rabiranjan Murmu, Pragyan Senapati, Harekrushna Sutar
ABSTRACT
This paper presents a method by which the maximum possible rate of pulverized coal injection (PCI) in blast furnace can be predicted. The method is based on a two-step approach. First, a first principle simulation model of the blast furnace is used to generate data sets for the development of a linear model of pulverized coal injection rate. The data has been generated randomly in MATLAB software within the range of operating parameters (constraints) of the blast furnace. After that, the coefficients of the function have been determined. The inputs and the resulting outputs formed the data on which the linear optimization model was developed. Next, the linear model was used for maximizing the pulverized coal rate injection by optimizing the other variables. Two operating Indian Blast Furnaces have been chosen to validate the optimization model.
Source:
Journal： Advances in Chemical Engineering and Science
DOI: 10.4236/aces.2021.112009(PDF)
Paper Id: 107520 (metadata)
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