铁矿烧结过程能耗数学模型的研究进展
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摘要
综述了铁矿烧结过程能耗数学模型的研究动态,重点介绍了烧结过程能耗分析与能源管理,热平衡模型、固耗预测模型、碳效模型和?效率模型等能效评价数学模型,以及烧结工艺参数优化等进展。同时展望了烧结过程能耗数学模型的研究方向,即创新能效评价方法,找出用能薄弱环节,并建立能耗数学模型科学评价烧结过程的能源消耗,在一定的指标参数和状态参数约束条件下最优化调节烧结工艺参数,最终提高烧结过程能效并实现绿色生产。
Research developments of mathematical models of the energy consumption of iron ore sintering process were summarized. The energy consumption analysis and the energy management,including the evaluation model of energy efficiency such as the heat balance model,the solid consumption prediction model,the carbon efficiency model,the exergy analysis model in sintering process,and the optimization of sintering process parameters were introduced. At the same time,the future research direction in the area was predicted:innovate methods of the evaluation of energy efficiency,finding the energy weak link in the sintering process,building the mathematical model to evaluate the energy consumption of the sintering process scientifically,optimizing the process parameters under the constraints of certain parameters and state parameters. The ultimate goal is to increase the energy efficiency of the sintering process and achieve green production.
Research developments of mathematical models of the energy consumption of iron ore sintering process were summarized. The energy consumption analysis and the energy management,including the evaluation model of energy efficiency such as the heat balance model,the solid consumption prediction model,the carbon efficiency model,the exergy analysis model in sintering process,and the optimization of sintering process parameters were introduced. At the same time,the future research direction in the area was predicted:innovate methods of the evaluation of energy efficiency,finding the energy weak link in the sintering process,building the mathematical model to evaluate the energy consumption of the sintering process scientifically,optimizing the process parameters under the constraints of certain parameters and state parameters. The ultimate goal is to increase the energy efficiency of the sintering process and achieve green production.
引文
[1]范晓慧.铁矿造块数学模型与专家系统[M].北京:科学出版社,2013.(FAN Xiao-hui.The Mathematical Model and Expert System of Iron Ore Building Block[M].Beijing:Science Press,2013.)
[2]胡长庆,张玉柱,张春霞.烧结过程物质流和能量流分析[J].烧结球团,2007,32(1):16.(HU Chang-qing,ZHANG Yu-zhu,ZHANG Chun-xia,et al.Analysis of mass flow and energy flow in sintering process[J].Sintering and Pelletizing,2007,32(1):16.)
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[4]胡兵,王兆才,李宗平,等.烧结工序能耗精细化管理及其软件开发[J].中国冶金,2016,26(9):12.(HU Bing,WANG Zhao-cai,LI Zong-ping,et al.Refined management for energy consumption in sintering process and software development[J].China Metallurgy,2016,26(9):12.)
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[8]周茂军,何志军,袁兵,等.宝钢1号烧结机质能平衡测试与分析[J].烧结球团,2011,36(6):9.(ZHOU Mao-jun,HE Zhijun,YUAN Bing,et al.Test and analysis of mass and energy balance in sintering process of No.1 sinter machine of Baosteel[J].Sintering and Pelletizing,2011,36(6):9.)
[9]李宗平,胡兵,曾辉.基于烧结热平衡理论的固体燃耗精确计算技术研究与实现[C]//2014年度全国烧结球团技术交流年会论文集.厦门:《烧结球团》杂志社,2014:28.(LI Zongping,HU Bing,ZENG Hui,et al.Research and implementation of accurate calculation technology of solid fuel consumption based on the theory of heat balance of sintering[C]//The Annual Conference on the Annual Meeting of the National Sintering and Pelletizing Technical Exchange in 2014.Xiamen:Sintering and Pelletizing,2014:28.)
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[11]孟辉,乔非,李莉.基于BP神经网络的烧结能耗预测模型[J].机械工程师,2012(2):45.(MENG Hui,QIAO Fei,LI Li.Predictive model of energy consumption in sintering process based on BP neural network[J].Mechanical Engineer,2012(2):45.)
[12]王俊凯,乔非,祝军,等.基于支持向量机的烧结能耗及性能指标预测模型[J].同济大学学报:自然科学版,2014,42(8):1256.(WANG Jun-kai,QIAO Fei,ZHU Jun,et al.SVR-based predictive models of energy consumption and performance criteria for sintering[J].Journal of Tongji University:Natural Science,2014,42(8):1256.)
[13]CHEN Xiao-xia,SHE Jin-hua,CHEN Xin,et al.Modeling method of carbon efficiency in iron ore sintering process[C]//2016IEEE International Conference on Industrial Technology(IC-IT).Taibei:IEEE,2016:1033.
[14]陈鑫,翁卫卫,吴敏,等.混沌粒子群算法的烧结碳耗BP神经网络模型[J].计算机与应用化学,2013,30(10):1223.(CHEN Xin,WENG Wei-wei,WU Min,et al.BP neural network model of sintering carbon consumption based on chaotic particle swarm optimization[J].Computers and Applied Chemistry,2013,30(10):1223.)
[15]翁卫卫,陈鑫,吴敏,等.基于遗传小波神经网络的烧结过程碳耗模型[C]//第32届中国控制会议论文集(CCC2013).西安:中国自动化学会控制理论专业委员会,2013:1860.(WENG Wei-wei,CHEN Xin,WU Min,et al.Modeling of coke consumption in sintering process based on GA wavelet neural network[C]//Proceedings of the 32nd Chinese Control Conference.Xi'an:TCCT,2013:1860.)
[16]CHEN Xiao-xia,SHE Jin-hua,CHEN Xin,et al.Discrete wavelet transfer based BPNN for calculating carbon efficiency of sintering process[J].Journal of Advanced Computational Intelligence and Intelligent Informatics,2016,20(7):1070.
[17]CHEN Xiao-xia,CHEN Xin,SHE Jin-hua,et al.A hybrid time series prediction model based on recurrent neural network and double joint linear-nonlinear extreme learning network for prediction of carbon efficiency in iron ore sintering process[J].Neurocomputing,2017,249:12.
[18]CHEN Xiao-xia,CHEN Xin,HE Jin-hua,et al.A hybrid justin-time soft sensor for carbon efficiency of iron ore sintering process based on feature extraction of cross-sectional frames at discharge end[J].Journal of Process Control,2017,54:14.
[19]翁卫卫.基于成品率预测的烧结过程综合焦比计算模型[D].长沙:中南大学,2014.(WENG Wei-wei.Calculation Model of Complex Coke Consumption Ratio Based on Yield Prediction for Sintering Process[D].Changsha:Central South University,2014.)
[20]CHEN Xiao-xia,CHEN Xin,SHE Jin-hua,et al.Hybrid multistep modeling for calculation of carbon efficiency of iron ore sintering process based on yield prediction[J].Neural Computing and Applications,2016,28(6):1193.
[21]向德.面向碳效优化的烧结过程CO/CO2计算建模研究[D].长沙:中南大学,2013.(XIANG De.CO/CO2Computational Modeling Studies of the Sintering Process for Carbon Efficiency Optimization[D].Changsha:Central South University,2013.)
[22]XU Ben,CHEN Xin,WU Min,et al.A cascade prediction model of CO/CO2in the sintering process[J].Journal of Advanced Computational Intelligence and Intelligent Informatics,2017,21(5):785.
[23]吴复忠,李军旗,金会心,等.烧结工序的物质流和能量?流分析[J].贵州科学,2011,29(2):76.(WU Fu-zhong,LI Jun-qi,JIN Hui-xin,et al.Exergy analysis on energy and materials fl-ow of sintering process[J].Guizhou Science,2011,29(2):76.)
[24]吴复忠,蔡九菊,张琦,等.炼铁系统的物质流和能量流的?分析[J].工业加热,2007,36(1):15.(WU Fu-zhong,CAI Jiuju,ZHANG Qi,et al.Exergy analysis of energy and materials flows in the system of ironmaking plants[J].Industrial Heating,2007,36(1):15.)
[25]胡兵,贺新华,王兆才,等.烧结工序?流分析及评价[J].中国冶金,2015,25(9):47.(HU Bing,HE Xin-hua,WANG Zhaocai,et al.Evaluation and analysis on exergy flow of sintering process[J].China Metallurgy,2015,25(9):47.)
[26]王芳.烧结?耗和烧结焦比计算建模方法研究[D].长沙:中南大学,2013.(WANG Fang.Modeling Method for Calculation of Exergy Consumption and Coke Ratio in Sintering Process[D].Changsha:Central South University,2013.)
[27]罗国民,文五四,刘志强,等.韶钢烧结工序用能模型开发与能流优化分析[J].烧结球团,2011,36(3):14.(LUO Guomin,WEN Wu-si,LIU Zhi-qiang,et al.Development of energy model for Shaosteel sintering process and optimization and analysis of energy flow[J].Sintering and Pelletizing,2011,36(3):14.)
[28]范晓慧,王海东.烧结过程数学模型与人工智能[M].长沙:中南大学出版社,2002.(FAN Xiao-hui,WANG Hai-dong.The Mathematical Model and Artificial Intelligence of the Sintering Process[M].Changsha:Central South University Press,2002.)
[29]马俊杰,吴敏,李勇.烧结配料过程焦粉最低配比计算方法[J].化工学报,2012,63(9):2688.(MA Jun-jie,WU Min,LIYong,et al.Minimal coke consumption calculating method[J].CIESC Journal,2012,63(9):2688.)
[30]HUANG Xiao-xian,FAN Xiao-hui,CHEN Xu-ling,et al.Bed permeability state prediction model of sintering process based on data mining technology[J].ISIJ International,2016,56(12):2113.
[31]FAN Xiao-hui,HUANG Xiao-xian,CHEN Xu-ling,et al.Research and development of the intelligent control of iron ore sintering process based on fan frequency conversion[J].Ironmaking and Steelmaking,2016,43(7):488.
[32]冯朝辉,张华,王艳红.烧结工序能耗预测与优化研究[J].烧结球团,2012,37(6):13.(FENG Zhao-hui,ZHANG Hua,WANG Yan-hong,et al.Study on prediction and optimization of sintering process energy consumption[J].Sintering and Pelletizing,2012,37(6):13.)
[33]LI Zong-ping,FAN Xiao-hui,CHEN Guo,et al.Optimization of iron ore sintering process based on ELM model and multicriteria evaluation[J].Neural Computing and Applications,2017,28(8):2247.
[34]CHEN Xin,CHEN Xiao-xia,WU Min,et al.Modeling and optimization method featuring multiple operating modes for improving carbon efficiency of iron ore sintering process[J].Control Engineering Practice,2016,54:117.
[35]DU Sheng,WU Min,CHEN Xin,et al.Design of an optimization and control system for carbon efficiency in the green manufacturing of sinter ore[C]//Proceedings of the 36th Chinese Control Conference.Dalian:TCCT,2017:4470.
[2]胡长庆,张玉柱,张春霞.烧结过程物质流和能量流分析[J].烧结球团,2007,32(1):16.(HU Chang-qing,ZHANG Yu-zhu,ZHANG Chun-xia,et al.Analysis of mass flow and energy flow in sintering process[J].Sintering and Pelletizing,2007,32(1):16.)
[3]张春霞,郦秀萍,周继程,等.GB 21256-2013,粗钢烧结主要工序单位产品能源消耗限额[S].北京:中国标准出版社,2013.(ZHANG Chun-xia,LI Xiu-pin,ZHOU Ji-cheng,et al.GB21256-2013,The Norm of Energy Consumption Per Unit Product of Major Individual Process of Crude Steel Manufacturing Process[S].Beijing:Standards Press of China,2013.)
[4]胡兵,王兆才,李宗平,等.烧结工序能耗精细化管理及其软件开发[J].中国冶金,2016,26(9):12.(HU Bing,WANG Zhao-cai,LI Zong-ping,et al.Refined management for energy consumption in sintering process and software development[J].China Metallurgy,2016,26(9):12.)
[5]付明辉.钢铁烧结生产工艺过程能源管理系统的研究[D].长沙:中南大学,2010.(FU Ming-hui.Study of Iron Sintering Process Energy Management System[D].Changsha:Central South University,2010.)
[6]赵斌,张志远,冯俊小,等.烧结工序能量平衡及节能诊断分析[J].钢铁,2011,46(3):83.(ZHAO Bin,ZHANG Zhi-yuan,FENG Jun-xiao,et al.Energy balance and energy-saving diagnosis in sintering process[J].Iron and Steel,2011,46(3):83.)
[7]胡志远,楼国锋,温治,等.烧结热过程质量和能量平衡的诊断及分析[J].冶金自动化,2008,32(5):20.(HU Zhi-yuan,LOU Guo-feng,WEN Zhi,et al.Diagnosis and analysis of mass and energy balance in sintering thermal process[J].Metallurgical Industry Automation,2008,32(5):20.)
[8]周茂军,何志军,袁兵,等.宝钢1号烧结机质能平衡测试与分析[J].烧结球团,2011,36(6):9.(ZHOU Mao-jun,HE Zhijun,YUAN Bing,et al.Test and analysis of mass and energy balance in sintering process of No.1 sinter machine of Baosteel[J].Sintering and Pelletizing,2011,36(6):9.)
[9]李宗平,胡兵,曾辉.基于烧结热平衡理论的固体燃耗精确计算技术研究与实现[C]//2014年度全国烧结球团技术交流年会论文集.厦门:《烧结球团》杂志社,2014:28.(LI Zongping,HU Bing,ZENG Hui,et al.Research and implementation of accurate calculation technology of solid fuel consumption based on the theory of heat balance of sintering[C]//The Annual Conference on the Annual Meeting of the National Sintering and Pelletizing Technical Exchange in 2014.Xiamen:Sintering and Pelletizing,2014:28.)
[10]韩庆虹,金永龙,张军红.人工神经网络在烧结固体燃耗预测中的应用[J].冶金能源,2005,24(2):9.(HAH Qing-hong,JIN Yong-long,ZHANG Jun-hong,et al.Application of neural networks in the prediction of solid fuel consumption in sintering process[J].Energy for Metallurgical Industry,2005,24(2):9.)
[11]孟辉,乔非,李莉.基于BP神经网络的烧结能耗预测模型[J].机械工程师,2012(2):45.(MENG Hui,QIAO Fei,LI Li.Predictive model of energy consumption in sintering process based on BP neural network[J].Mechanical Engineer,2012(2):45.)
[12]王俊凯,乔非,祝军,等.基于支持向量机的烧结能耗及性能指标预测模型[J].同济大学学报:自然科学版,2014,42(8):1256.(WANG Jun-kai,QIAO Fei,ZHU Jun,et al.SVR-based predictive models of energy consumption and performance criteria for sintering[J].Journal of Tongji University:Natural Science,2014,42(8):1256.)
[13]CHEN Xiao-xia,SHE Jin-hua,CHEN Xin,et al.Modeling method of carbon efficiency in iron ore sintering process[C]//2016IEEE International Conference on Industrial Technology(IC-IT).Taibei:IEEE,2016:1033.
[14]陈鑫,翁卫卫,吴敏,等.混沌粒子群算法的烧结碳耗BP神经网络模型[J].计算机与应用化学,2013,30(10):1223.(CHEN Xin,WENG Wei-wei,WU Min,et al.BP neural network model of sintering carbon consumption based on chaotic particle swarm optimization[J].Computers and Applied Chemistry,2013,30(10):1223.)
[15]翁卫卫,陈鑫,吴敏,等.基于遗传小波神经网络的烧结过程碳耗模型[C]//第32届中国控制会议论文集(CCC2013).西安:中国自动化学会控制理论专业委员会,2013:1860.(WENG Wei-wei,CHEN Xin,WU Min,et al.Modeling of coke consumption in sintering process based on GA wavelet neural network[C]//Proceedings of the 32nd Chinese Control Conference.Xi'an:TCCT,2013:1860.)
[16]CHEN Xiao-xia,SHE Jin-hua,CHEN Xin,et al.Discrete wavelet transfer based BPNN for calculating carbon efficiency of sintering process[J].Journal of Advanced Computational Intelligence and Intelligent Informatics,2016,20(7):1070.
[17]CHEN Xiao-xia,CHEN Xin,SHE Jin-hua,et al.A hybrid time series prediction model based on recurrent neural network and double joint linear-nonlinear extreme learning network for prediction of carbon efficiency in iron ore sintering process[J].Neurocomputing,2017,249:12.
[18]CHEN Xiao-xia,CHEN Xin,HE Jin-hua,et al.A hybrid justin-time soft sensor for carbon efficiency of iron ore sintering process based on feature extraction of cross-sectional frames at discharge end[J].Journal of Process Control,2017,54:14.
[19]翁卫卫.基于成品率预测的烧结过程综合焦比计算模型[D].长沙:中南大学,2014.(WENG Wei-wei.Calculation Model of Complex Coke Consumption Ratio Based on Yield Prediction for Sintering Process[D].Changsha:Central South University,2014.)
[20]CHEN Xiao-xia,CHEN Xin,SHE Jin-hua,et al.Hybrid multistep modeling for calculation of carbon efficiency of iron ore sintering process based on yield prediction[J].Neural Computing and Applications,2016,28(6):1193.
[21]向德.面向碳效优化的烧结过程CO/CO2计算建模研究[D].长沙:中南大学,2013.(XIANG De.CO/CO2Computational Modeling Studies of the Sintering Process for Carbon Efficiency Optimization[D].Changsha:Central South University,2013.)
[22]XU Ben,CHEN Xin,WU Min,et al.A cascade prediction model of CO/CO2in the sintering process[J].Journal of Advanced Computational Intelligence and Intelligent Informatics,2017,21(5):785.
[23]吴复忠,李军旗,金会心,等.烧结工序的物质流和能量?流分析[J].贵州科学,2011,29(2):76.(WU Fu-zhong,LI Jun-qi,JIN Hui-xin,et al.Exergy analysis on energy and materials fl-ow of sintering process[J].Guizhou Science,2011,29(2):76.)
[24]吴复忠,蔡九菊,张琦,等.炼铁系统的物质流和能量流的?分析[J].工业加热,2007,36(1):15.(WU Fu-zhong,CAI Jiuju,ZHANG Qi,et al.Exergy analysis of energy and materials flows in the system of ironmaking plants[J].Industrial Heating,2007,36(1):15.)
[25]胡兵,贺新华,王兆才,等.烧结工序?流分析及评价[J].中国冶金,2015,25(9):47.(HU Bing,HE Xin-hua,WANG Zhaocai,et al.Evaluation and analysis on exergy flow of sintering process[J].China Metallurgy,2015,25(9):47.)
[26]王芳.烧结?耗和烧结焦比计算建模方法研究[D].长沙:中南大学,2013.(WANG Fang.Modeling Method for Calculation of Exergy Consumption and Coke Ratio in Sintering Process[D].Changsha:Central South University,2013.)
[27]罗国民,文五四,刘志强,等.韶钢烧结工序用能模型开发与能流优化分析[J].烧结球团,2011,36(3):14.(LUO Guomin,WEN Wu-si,LIU Zhi-qiang,et al.Development of energy model for Shaosteel sintering process and optimization and analysis of energy flow[J].Sintering and Pelletizing,2011,36(3):14.)
[28]范晓慧,王海东.烧结过程数学模型与人工智能[M].长沙:中南大学出版社,2002.(FAN Xiao-hui,WANG Hai-dong.The Mathematical Model and Artificial Intelligence of the Sintering Process[M].Changsha:Central South University Press,2002.)
[29]马俊杰,吴敏,李勇.烧结配料过程焦粉最低配比计算方法[J].化工学报,2012,63(9):2688.(MA Jun-jie,WU Min,LIYong,et al.Minimal coke consumption calculating method[J].CIESC Journal,2012,63(9):2688.)
[30]HUANG Xiao-xian,FAN Xiao-hui,CHEN Xu-ling,et al.Bed permeability state prediction model of sintering process based on data mining technology[J].ISIJ International,2016,56(12):2113.
[31]FAN Xiao-hui,HUANG Xiao-xian,CHEN Xu-ling,et al.Research and development of the intelligent control of iron ore sintering process based on fan frequency conversion[J].Ironmaking and Steelmaking,2016,43(7):488.
[32]冯朝辉,张华,王艳红.烧结工序能耗预测与优化研究[J].烧结球团,2012,37(6):13.(FENG Zhao-hui,ZHANG Hua,WANG Yan-hong,et al.Study on prediction and optimization of sintering process energy consumption[J].Sintering and Pelletizing,2012,37(6):13.)
[33]LI Zong-ping,FAN Xiao-hui,CHEN Guo,et al.Optimization of iron ore sintering process based on ELM model and multicriteria evaluation[J].Neural Computing and Applications,2017,28(8):2247.
[34]CHEN Xin,CHEN Xiao-xia,WU Min,et al.Modeling and optimization method featuring multiple operating modes for improving carbon efficiency of iron ore sintering process[J].Control Engineering Practice,2016,54:117.
[35]DU Sheng,WU Min,CHEN Xin,et al.Design of an optimization and control system for carbon efficiency in the green manufacturing of sinter ore[C]//Proceedings of the 36th Chinese Control Conference.Dalian:TCCT,2017:4470.