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采用线性规划方法,建立了以能耗和成本为目标函数的高炉炼铁优化数学模型,根据目标函数和高炉过程特性确定优化变量和约束条件,利用Lingo软件设计程序求得优化结果,通过单目标优化得到多目标最优化模型,利用该优化模型并借助Origin软件分析了焦比、鼓风温度、焦炉煤气的喷吹量等因素对能耗和成本的影响,提出节能降耗的途径,并与生产数据比较验证模型的可靠性.结果表明,与高炉生产数据相比,按标准煤计,模型优化后能耗降低了24.1 kg/t,成本节省了42.7$/t.高炉降低能耗和节约成本的措施为:降低焦比,提高喷煤比,增加焦炉煤气喷吹量,富氧及提高热风温度.
Based on the linear programming method, an optimized mathematic model of blast furnace ironmaking with energy consumption and cost as its objective function is established. The optimization variables and constraints are determined according to the objective function and blast furnace process characteristics. The optimization results are obtained by using Lingo software design program. The multi-objective optimization model is optimized and the energy consumption and cost are analyzed by using the optimization model and Origin software to analyze the influence of coke ratio, blast temperature and coke oven gas injection on energy consumption and cost, The results show that compared with the production data of blast furnace, the energy consumption of the model is reduced by 24.1 kg / t and the cost is saved by 42.7 $ / t compared with the production data of the blast furnace. Cost-saving measures are: to reduce the coke ratio, improve coal injection ratio, increase coke oven gas injection, oxygen enrichment and increase hot air temperature.