A Research On The Decision Analysis And Optimization Model Of Oxygen System Of Iron And Steel Enterprises

As the necessary energy media of iron and steel enterprises, oxygen occupies the fourth important energy media in addition to gas, steam and electricity, and its status can not be ignored. The oxygen producting economy and oxygen diffue problem of iron and steel enterprises’are the two outstanding problem we facing. According to the statistics of some large and medium-sized enterprises, the oxygen energy consumption accounts for about1/7of the power consumption of iron and steel enterprises, therefore, the overall energy of its energy-saving analysis and optimize of the iron and steel enterprises will play an important role. As this be the research background, the article analyze the oxygen system’s characteristics from the production, transmission and use; for10million tons level of iron and steel enterprises, has given the policy indicator and analysis of the oxygen system and has taken the example validation analysis of Shougang Jingtang; based on the Shougang Jingtang’s oxygen system, has build the oxygen forecasting model and optimal allocation model, and given the solve of the model and example analysis, and has achieved good optimization results and good energy saving effect. The main contents of this article are as follows:1. Gived the research background and significance of the issue, and the status research of iron and steel enterprises’oxygen system, and analyzed the current research achievements and research gaps.2. Analyzed the characteristics of the oxygen system of iron and steel enterprises from the occurrence of oxygen, storage and transportation, then builded the oxygen dynamic equilibrium equation. By analyzing the visible oxygen system degeneration can lead to oxygen supply and demand imbalance, thus led to the elution of oxygen.3. For10million tons level of iron and steel enterprises, respectively builded the new decisions from oxygen system’s occurrencing side and using side. Using the new decisions to given decision analysis of large-scale units, the choice of oxygen producing flow and oxygen producing purity, and maked analysis of the converter’s oxygen using program. Finally, for the example of Shougang Jingtang, gived the application and analysis of all indicators,4. For Shougang Jingtang, maked research of optimization management model of oxygen. The optimization management model include establishing the oxygen using prediction model and the oxygen optimization model. The prediction model is using the artificial neural network (BP network) principle, and the optimization model buided respectively to the normal production state, the blast furnace off-wind and the oxygen generator downtime. Finally, solving and case analysis of the model using the MATLAB tools. The results show that the models have good optimization and energy-saving effect, can be used for the management of oxygen.