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 |
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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. |
doi_str_mv | 10.1007/s11431-017-9072-9 |
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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.</description><identifier>ISSN: 1674-7321</identifier><identifier>EISSN: 1869-1900</identifier><identifier>DOI: 10.1007/s11431-017-9072-9</identifier><language>eng</language><publisher>Beijing: Science China Press</publisher><subject>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</subject><ispartof>Science China. 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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. 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.</description><subject>Basicity</subject><subject>Blast furnace practice</subject><subject>Carbon dioxide</subject><subject>CO2排放</subject><subject>Coke fired furnaces</subject><subject>Cost engineering</subject><subject>Emission</subject><subject>Energy conservation</subject><subject>Energy consumption</subject><subject>Engineering</subject><subject>Iron ores</subject><subject>Ironmaking</subject><subject>Linear programming</subject><subject>Matching</subject><subject>Minerals</subject><subject>Nonlinear programming</subject><subject>Objectives</subject><subject>Optimization</subject><subject>二氧化碳排放</subject><subject>优化模型</subject><subject>成本最小化</subject><subject>炼铁系统</subject><subject>能耗</subject><subject>配矿</subject><subject>非线性规划</subject><issn>1674-7321</issn><issn>1869-1900</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kM1O3DAUhSNEpSKYB-jOare4-MYT_yzRqLRISGzo2nIcz4yHSTz4epDS5-CB6zQIusJe-Mo-3znyqaovwL4DY_IKAZYcKANJNZM11SfVGSihKWjGTsss5JJKXsPnaoG4Y2VxpRksz6qX2xQHEpNH0tvstmHYEDvY_YgBy9CReMihD39sDkW3jomEAtDePk5KHDH7nrQjyfOFH3zajMTFAY_9YWIuyeq-Jr4PiOFfUnnETPowvNtaJHnrSWx33uXw7C-qT2u7R794Pc-r3zc_Hla_6N39z9vV9R11XLFMG6U7DcBV20jWNQqaRkjHoZXWac8daL4Ep0F2HkTbcs1a3klVay9Ep2XNz6tvs-8hxaejx2x28ZjK79GAFqB407BJBbPKpYiY_NocUuhtGg0wM_Vv5v5N6d9M_RtdmHpmsGiHjU__OX8AfX0N2sZh81S4tyQhedm1UPwv0EOVJg</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Shen, Xun</creator><creator>Chen, LinGen</creator><creator>Xia, ShaoJun</creator><creator>Qin, XiaoYong</creator><creator>Xie, ZhiHui</creator><general>Science China Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20171101</creationdate><title>Iron ores matching analysis and optimization for iron-making system by taking energy consumption, CO2 emission or cost minimization as the objective</title><author>Shen, Xun ; Chen, LinGen ; Xia, ShaoJun ; Qin, XiaoYong ; Xie, ZhiHui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c380t-589d91138b570d5815567c31b7ac9e3c19341c917de16bb390b3d7829e66d9723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Basicity</topic><topic>Blast furnace practice</topic><topic>Carbon dioxide</topic><topic>CO2排放</topic><topic>Coke fired furnaces</topic><topic>Cost engineering</topic><topic>Emission</topic><topic>Energy conservation</topic><topic>Energy consumption</topic><topic>Engineering</topic><topic>Iron ores</topic><topic>Ironmaking</topic><topic>Linear programming</topic><topic>Matching</topic><topic>Minerals</topic><topic>Nonlinear programming</topic><topic>Objectives</topic><topic>Optimization</topic><topic>二氧化碳排放</topic><topic>优化模型</topic><topic>成本最小化</topic><topic>炼铁系统</topic><topic>能耗</topic><topic>配矿</topic><topic>非线性规划</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Xun</creatorcontrib><creatorcontrib>Chen, LinGen</creatorcontrib><creatorcontrib>Xia, ShaoJun</creatorcontrib><creatorcontrib>Qin, XiaoYong</creatorcontrib><creatorcontrib>Xie, ZhiHui</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><jtitle>Science China. Technological sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Xun</au><au>Chen, LinGen</au><au>Xia, ShaoJun</au><au>Qin, XiaoYong</au><au>Xie, ZhiHui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Iron ores matching analysis and optimization for iron-making system by taking energy consumption, CO2 emission or cost minimization as the objective</atitle><jtitle>Science China. Technological sciences</jtitle><stitle>Sci. China Technol. Sci</stitle><addtitle>SCIENCE CHINA Technological Sciences</addtitle><date>2017-11-01</date><risdate>2017</risdate><volume>60</volume><issue>11</issue><spage>1625</spage><epage>1637</epage><pages>1625-1637</pages><issn>1674-7321</issn><eissn>1869-1900</eissn><abstract>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.</abstract><cop>Beijing</cop><pub>Science China Press</pub><doi>10.1007/s11431-017-9072-9</doi><tpages>13</tpages></addata></record> |
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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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