This kinetic study focuses on determining the thermal gravimetric profile of a particular grade of Indian sub-bituminous coal. A thermogravimetric analyzer (TGA-1000) was employed to investigate the thermal behavior a...This kinetic study focuses on determining the thermal gravimetric profile of a particular grade of Indian sub-bituminous coal. A thermogravimetric analyzer (TGA-1000) was employed to investigate the thermal behavior and extract the kinetic parameters of Jamadoba coal and its corresponding density sepa<span style="font-family:Verdana;color:#000000;">rated macerals. The weight loss was measured in air atmosphere. The coal </span><span style="font-family:Verdana;color:#000000;">samples used in this study were obtained from Jamadoba mines, Jharkhand. Sam</span><span style="font-family:Verdana;color:#000000;">ples of 35 mg and 200 μm mean size were subjected to synthetic air atmos</span><span style="font-family:Verdana;color:#000000;">pheres (21% O</span><sub><span style="font-family:Verdana;color:#000000;">2</span></sub><span style="font-family:Verdana;color:#000000;">). Heating rates of 2, 5 and 7</span><span style="font-family:;" "=""><span style="color:#000000;font-family:Verdana;">°</span><span style="font-family:Verdana;color:#000000;"></span><span><span style="font-family:Verdana;color:#000000;">C/min were applied until the tempera</span><span style="font-family:Verdana;color:#000000;">ture reached 1400</span></span><span><span style="color:#000000;font-family:Verdana;">°</span><span style="font-family:Verdana;color:#000000;">C, which was kept constant until burnout. Low heating</span></span><span><span style="font-family:Verdana;color:#000000;"> rate was preferred so that devolatilization occurs prior to ignition and </span><span style="font-family:Verdana;color:#000000;">combust</span><span style="font-family:Verdana;color:#000000;">ion. Derivative thermogravimetry (DTG) analysis method was applied to </span><span style="font-family:Verdana;color:#000000;">measure the weight changes and rates of weight loss used for calculating the kinetic parameters. The activation energy (</span><i><span style="font-family:Verdana;color:#000000;">E</span><sub><span style="font-family:Verdana;color:#000000;">a</span></sub展开更多
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...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.展开更多
文摘This kinetic study focuses on determining the thermal gravimetric profile of a particular grade of Indian sub-bituminous coal. A thermogravimetric analyzer (TGA-1000) was employed to investigate the thermal behavior and extract the kinetic parameters of Jamadoba coal and its corresponding density sepa<span style="font-family:Verdana;color:#000000;">rated macerals. The weight loss was measured in air atmosphere. The coal </span><span style="font-family:Verdana;color:#000000;">samples used in this study were obtained from Jamadoba mines, Jharkhand. Sam</span><span style="font-family:Verdana;color:#000000;">ples of 35 mg and 200 μm mean size were subjected to synthetic air atmos</span><span style="font-family:Verdana;color:#000000;">pheres (21% O</span><sub><span style="font-family:Verdana;color:#000000;">2</span></sub><span style="font-family:Verdana;color:#000000;">). Heating rates of 2, 5 and 7</span><span style="font-family:;" "=""><span style="color:#000000;font-family:Verdana;">°</span><span style="font-family:Verdana;color:#000000;"></span><span><span style="font-family:Verdana;color:#000000;">C/min were applied until the tempera</span><span style="font-family:Verdana;color:#000000;">ture reached 1400</span></span><span><span style="color:#000000;font-family:Verdana;">°</span><span style="font-family:Verdana;color:#000000;">C, which was kept constant until burnout. Low heating</span></span><span><span style="font-family:Verdana;color:#000000;"> rate was preferred so that devolatilization occurs prior to ignition and </span><span style="font-family:Verdana;color:#000000;">combust</span><span style="font-family:Verdana;color:#000000;">ion. Derivative thermogravimetry (DTG) analysis method was applied to </span><span style="font-family:Verdana;color:#000000;">measure the weight changes and rates of weight loss used for calculating the kinetic parameters. The activation energy (</span><i><span style="font-family:Verdana;color:#000000;">E</span><sub><span style="font-family:Verdana;color:#000000;">a</span></sub
文摘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.
