Energy Forecasting And Energy Optimization Techniques In The Metallurgical Enterprises

The metallurgical industry has developed rapidly in the last few years. it has already become the big energy eaters in the modern industrial enterprise by its various power consume equipment and the higher quality demand of electric energy. Jilin Ferroalloy Company is the important leading enterprise of the domestic metallurgical trade, and especially the largest ferroalloy production factory. The main dissipation energy equipment is a hot stove of ore. The smelting course of ore is a complicated system, characterized by the non-linear and strong coupling. Three-phase voltage and three-phase have some impacts on length of electric arc. So, the reasonable power supply strategy can reduce the production efficiency, consumption of resources and electrode loss. The smelting cycle is shortened and the production efficiency can be raised.Routine power supply tactics is to confirm the work electric current. But in the course of smelting of ore, smelting cycle has a close relation with the power of electric arc and each ton electricity of ferroalloy. So the decision of the rational power supply tactics is not merely the choice problem of the working electric current. regarding the production process of the ferroalloy subsidiary factory of Jilin steel group, this paper analyze the favorable heating condition to smelting in different operating mode, establish the hot stove condition judgment model and provide the estimation of four stages of melting stage of state of energy in the stove according to the smelting process through the method of vector quantity supporting machine. Based on the model of optimization of the balanced, melting stage of equation of energy is set up. For different stove conditions and the index of energy optimizing, the genetic algorithm is adopted to choose job electric current, voltage and reactance. Rational power supply tactics is got and then the hot stove of ore imports is optimized. The result of the test has verified the validity of the method that this paper proposed.For adopting introduction energy optimization technology in the production process of, hot stove, it has improve the automatic degree of smelt course, strengthened energy information managerial ability, made the remarkable economic benefits and social benefit. The more important thing is that through this subject research, certain experience is accumulated and industrialized implementation methods of model and optimization of complicated industry process is presented in this paper which can be a favorable reference.