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

作　　者：Deepak Chandra Sau Rabiranjan Murmu Pragyan Senapati Harekrushna Sutar Deepak Chandra Sau;Rabiranjan Murmu;Pragyan Senapati;Harekrushna Sutar(CSIR-National Metallurgical Laboratory, Jamshedpur, India;Chemical Engineering Department, Indira Gandhi Institute of Technology, Sarang, Odisha, India;Mechanical Engineering Department, ITER, SOA Deemed to Be University, Bhubaneswar, India)

机构地区：[1]CSIR-National Metallurgical Laboratory, Jamshedpur, India [2]Chemical Engineering Department, Indira Gandhi Institute of Technology, Sarang, Odisha, India [3]Mechanical Engineering Department, ITER, SOA Deemed to Be University, Bhubaneswar, India

出　　处：《Advances in Chemical Engineering and Science》2021年第2期141-153,共13页化学工程与科学期刊（英文）

摘　　要：This paper presents a method by which the maximum possible rate of pulverized coal injection (PCI) in </span><span style="font-family:Verdana;">blast</span> <span style="font-family:Verdana;">furnace</span><span style="font-family:Verdana;"> can be predicted. The method is based on a two-step approach. First, a </span><span style="font-family:Verdana;">first principle</span><span style="font-family:Verdana;"> 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 </span><span style="font-family:Verdana;">that</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> 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.This paper presents a method by which the maximum possible rate of pulverized coal injection (PCI) in </span><span style="font-family:Verdana;">blast</span> <span style="font-family:Verdana;">furnace</span><span style="font-family:Verdana;"> can be predicted. The method is based on a two-step approach. First, a </span><span style="font-family:Verdana;">first principle</span><span style="font-family:Verdana;"> 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 </span><span style="font-family:Verdana;">that</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> 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.

关 键 词：Raceway Parameters Blast Furnace OPTIMIZATION PCI 

分 类 号：O17[理学—数学]