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为降低高炉炼铁工序的能耗,建立了包含高炉、炉顶煤气余压回收透平发电装置(TRT)、鼓风机和热风炉在内的高炉炼铁工序优化模型,该优化模型包含了原燃料参数和工艺参数在内的9个优化变量,设定了变量上下限约束、工艺约束、物质和能量平衡约束等31个线性和非线性的约束条件,并利用序列二次规划法(SQP)求解该优化问题。优化结果表明:要使高炉炼铁工序能耗最小,应增大煤比、降低焦比、提高鼓风温度和采用高压炉顶操作。同时利用该优化模型和算法,分析了煤比、鼓风湿度、鼓风温度和鼓风富氧率对工序能耗及相应的TRT发电量的影响规律。
In order to reduce the energy consumption of blast furnace ironmaking process, an optimization model of blast furnace ironmaking process including blast furnace, top pressure recoverable turbine power generation unit (TRT), blower and hot blast stove was established. The optimization model includes raw fuel Parameters and process parameters, including the upper and lower bound constraints, the process constraints, the material and energy balance constraints and other linear and nonlinear constraints of nine variables, and the use of sequence quadratic programming (SQP) solution The optimization problem. The results show that: to minimize the energy consumption of the blast furnace ironmaking process, the coal ratio should be increased, the coke ratio should be reduced, the blast air temperature should be increased, and the high pressure roof should be operated. At the same time, using the optimization model and algorithm, the influence of coal ratio, blowing air humidity, blowing temperature and blowing oxygen rate on the process energy consumption and the corresponding TRT power generation was analyzed.