Study On The Optimization For The Blast Furnace Iron-making System Based On Properties Of Material And Energy Flows

Reducing energy consumption of blast furnace ironmaking process and improving the utilization of resources in blast furnace iron-making process are the efficient paths of sustainable development.The optimization of blast furnace iron-making system has a significant influence on molten iron production,energy and manufacturing costs in blast furnace iron-making process.This paper is depend on the returned people start fund projects of ministry of education scientific research and the open fund of Hubei province scientific research plan and metallurgical equipment and its control of the ministry of education key laboratory.Its research is on quantitative analysis of mutual relations between materials and energy and system optimization of capacity control and allocation of resources in blast furnace iron-making system.Firstly,the structural composition and technical-economic indicator of blast furnace iron-making are defined via analyzing the principle of its process.The properties of ME flows of blast furnace iron-making is analyzed integrating the properties of manufacturing technique and quantitative analysis of material resources and capacity emergy.Secondly,the material resources and technological operation parameters such as raw material and fuel are regarded as system input based on the properties of material and energy flows in each subsystem.The molten iron production and energy of iron production are regarded as the optimization object.Then,the blast furnace iron-making system optimizing model is established based on characteristics of material and energy flows.Thirdly,a neural network prediction method and genetic algorithm are applied for prediction and optimization solution on optimization model of blast furnace iron-making system based on preprocessed of production data.Therefore,the optimization of molten iron production and emergy is realized respectively.Lastly,the validity of the model is proved via the contrastive analysis of optimization model computational results in blast furnace iron-making system with production data.Furthermore,the trend of blast furnace iron-making system optimizing with different optimal object is discussed via contrastive analysis on optimizing result of molten iron production and iron emergy.In this thesis,the optimization model of blast furnace iron-making system is established based on material and energy flows to optimize the usage amount of related operating parameter and resource.Therefore,the production control and comprehensive energy-saving and cost-reducing is realized tin blast furnace iron-making system.