东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (2): 270-273.DOI: -

• 论著 • 上一篇    下一篇

高炉炼铁过程多目标优化模型的研究及应用

张琦;姚彤辉;蔡九菊;沈峰满;   

  1. 东北大学材料与冶金学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目(N090302010);;

On the multi-objective optimal model of blast furnace iron-making process and its application

Zhang, Qi (1); Yao, Tong-Hui (1); Cai, Jiu-Ju (1); Shen, Feng-Man (1)   

  1. (1) School of Materials and Metallurgy, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Zhang, Q.
  • About author:-
  • Supported by:
    -

摘要: 基于高炉炼铁过程的物质与能量守恒,采用多目标优化方法,建立了以能耗、成本及CO2排放为目标的高炉生产过程优化数学模型,并将该模型应用到某大型钢铁企业.编制程序得出优化结果,经与实际生产数据比较,验证了模型的正确性.优化结果表明:能耗、成本和CO2排放量均有不同程度降低.同时,利用模型分析了焦比、煤比、烧结矿品位等因素对高炉炼铁生产过程的影响,提出了高炉节能、降耗、减排的方向和措施.

关键词: 高炉, 炼铁, 多目标优化, 模型, 节能减排

Abstract: Based on the conservation of matter and energy in blast furnace iron-making process and the multi-objective optimization method, a mathematical model was developed with the energy consumption, cost and CO2 emission taken as objectives, and it was applied to the No.1 blast furnace in a certain iron and steel complex. By programming and comparing the optimized results with the real data obtained from production, the model was verified correct. The optimization results showed that all the energy consumption, production cost and CO2 emission decreased to the different degrees. Meanwhile, the effects of such factors as coke ratio, coal ratio and sinter grade on the blast furnace iron-making process were analyzed by the model, and some measures are suggested to take for energy saving, cost decreasing and emission reducing.

中图分类号: