Speakers
Dr
Mingyin Kou
(University of Science and Technology Beijing)Mr
Shun Yao
(School of Metallurgical and Ecological Engineering, Beijing University of Science and Technology, Beijing 100083, China)
Description
Blast furnace emission reduction optimization model is based on substance conservation and energy conservation of ironmaking process. The mathematical model is established using the multiple-objective optimization method with the cost and CO2 emission taken as objective functions. The optimization variables and constraints are determined by the characteristics of blast furnace ironmaking process and the objective functions. The optimized results are obtained by using the GRG (Generalized Reduced Gradient) nonlinear solving method. Then, the model is applied to the B# blast furnace in Bayi Steel in China. By comparing the optimized results with the actual production data, the model is verified correct. Meanwhile, the model is applied to analyze the effects of coke ratio, coal ratio, blast temperature and other factors on the cost and CO2 emission. Then, some measures to cost saving and emission reducing have been proposed.
Author
Mr
Shun Yao
(School of Metallurgical and Ecological Engineering, Beijing University of Science and Technology, Beijing 100083, China)
Co-authors
Prof.
Bo Song
(University of Science and Technology, Beijing 100083, China)
Dr
Heng Zhou
(University of Science and Technology Beijing)
Mr
Kai Gu
(School of Metallurgical and Ecological Engineering, Beijing University of Science and Technology, Beijing 100083, China)
Dr
Mingyin Kou
(University of Science and Technology Beijing)
Prof.
Shengli Wu
(School of Metallurgical and Ecological Engineering, Beijing University of Science and Technology, Beijing 100083, China)