Iron ores matching analysis and optimization for iron-making system by taking energy consumption, CO2 emission or cost minimization as the objective

An optimization model for iron-making system covering sinter matching process to blast furnace process is established, in which the energy consumption, CO2 emission and cost minimizations are taken as optimization objectives. Some key constraints are considered according to practical production expe...

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Veröffentlicht in:Science China. Technological sciences 2017-11, Vol.60 (11), p.1625-1637
Hauptverfasser: Shen, Xun, Chen, LinGen, Xia, ShaoJun, Qin, XiaoYong, Xie, ZhiHui
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container_issue 11
container_start_page 1625
container_title Science China. Technological sciences
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creator Shen, Xun
Chen, LinGen
Xia, ShaoJun
Qin, XiaoYong
Xie, ZhiHui
description An optimization model for iron-making system covering sinter matching process to blast furnace process is established, in which the energy consumption, CO2 emission and cost minimizations are taken as optimization objectives. Some key constraints are considered according to practical production experience in the modelling. The combination of linear programming (LP) and nonlinear programming (NLP) methods is applied. The optimal sinter matching scheme under given conditions and the optimization results for different objectives are obtained. Effects of sinter grade and basicity on all the optimal objectives and coke ratio in blast furnace process are analyzed, respectively. The results obtained indicate that compared with the initial values, the energy consumption/CO2 emission of iron-making system decreases by 2.03% for objectives of energy consumption/CO2 emission minimizations and 1.89% for the objective of cost minimization, the cost decreases by 17.88% and 18.13%, respectively. All the three criteria decrease with the increasing lump usage, coal powder injection, blast temperature, and decreasing coke ratio for the iron-making system.
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Technological sciences</title><addtitle>Sci. China Technol. Sci</addtitle><addtitle>SCIENCE CHINA Technological Sciences</addtitle><description>An optimization model for iron-making system covering sinter matching process to blast furnace process is established, in which the energy consumption, CO2 emission and cost minimizations are taken as optimization objectives. Some key constraints are considered according to practical production experience in the modelling. The combination of linear programming (LP) and nonlinear programming (NLP) methods is applied. The optimal sinter matching scheme under given conditions and the optimization results for different objectives are obtained. Effects of sinter grade and basicity on all the optimal objectives and coke ratio in blast furnace process are analyzed, respectively. 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source SpringerNature Journals; Alma/SFX Local Collection
subjects Basicity
Blast furnace practice
Carbon dioxide
CO2排放
Coke fired furnaces
Cost engineering
Emission
Energy conservation
Energy consumption
Engineering
Iron ores
Ironmaking
Linear programming
Matching
Minerals
Nonlinear programming
Objectives
Optimization
二氧化碳排放
优化模型
成本最小化
炼铁系统
能耗
配矿
非线性规划
title Iron ores matching analysis and optimization for iron-making system by taking energy consumption, CO2 emission or cost minimization as the objective
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