Sau, D.C., Das, S.K., Mandal, G.K. and Bandyopadhyay, D. (2018) A Reduced Order Mathematical Model of the Blast Furnace Raceway with and without Pulverized Coal Injection for Real Time Plant Application. International Journal of Modeling and Simulation, 38, 232.

has been cited by the following article:

• TITLE: Optimization of Raceway Parameters in Iron Making Blast Furnace for Maximizing the Pulverized Coal Injection (PCI) Rate

  AUTHORS: Deepak Chandra Sau, Rabiranjan Murmu, Pragyan Senapati, Harekrushna Sutar

  KEYWORDS: Raceway Parameters, Blast Furnace, Optimization, PCI

  JOURNAL NAME: Advances in Chemical Engineering and Science, Vol.11 No.2, February 26, 2021

  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.