141 Multi Objective Optimization of Cost Saving and Emission Reduction in Blast Furnace Ironmaking Process

Due to the increasing environmental pressures, one of the most direct and effective ways to achieve emission reduction is to reduce the CO2 emissions of the blast furnace process in the iron and steel industry. Based on the substance conservation and energy conservation of the ironmaking process and the engineering method, the carbon loss model was firstly established to calculate the amount of solution loss. Based on this model, the blast furnace emission reduction optimization mathematical model with the cost and CO2 emissions as objective functions was then established using the multiple-objective optimization method. The optimized results were obtained by using the GRG (Generalized Reduced Gradient) nonlinear solving method. The optimization model was applied to the B# blast furnace of BaySteel in China. The optimization model was verified by comparing the optimized results with the actual production data. Furthermore, the optimization model was utilized to analyze the effects of parameters like coke ratio, coal rate, blast temperature and others on cost, CO2 emissions, and solution loss. In conclusion, some measures to save cost, reduce emissions, and minimize solution loss have been proposed.