Research on Optimization Method for Gas Consumption of Blast Furnace Hot Blast Stove Based on Particle Swarm Optimization
Due to the instability of the pressure and flow rate in the blast furnace gas pipeline network,there is serious gas dissipation loss.Therefore,method based on particle swarm optimization is studied for optimizing the gas consumption of blast furnace hot blast furnaces.Based on the prediction results of gas consumption in blast furnace hot blast furnaces,an optimization model for gas consumption in blast furnace hot blast furnaces is established with the goal of balancing gas production and consumption and minimizing gas emission.Particle swarm optimization algorithm is introduced to solve the model and obtain the optimal optimization scheme.The experimental results show that the optimized design method results in a gas release rate of basically 0 for the blast furnace hot blast stove,confirming that this method can effectively reduce gas consumption.
particle swarm optimizationblast furnacehot air stovegas consumptionoptimization methods
万方数据
维普
