Abstract：Iron and steel enterprises have the characteristics of long process,high energy consumption and large emission. The key to realize high-level system energy saving lies in the collaborative optimization of material flow and energy flow in the steel manufacturing process. Therefore,the research progress and application for optimization of material flow and energy flow in steel manufacturing process are reviewed. On this basis,the main research directions for collaborative optimization of material flow and energy flow in iron and steel manufacturing process are described,namely,the interaction and collaborative rules of material flow and energy flow,the production planning of considering energy constraints and the coupling scheduling of logistics and energy flow. In order to construct and solve the collaborative optimization model,it is necessary to define the scientific collaborative representation method of material flow and energy flow,to unify the time granularity of production planning and energy planning,and to optimize the intelligent algorithm.
胡正彪, 贺东风. 钢铁制造流程物质流与能量流协同优化研究进展[J]. 钢铁, 2021, 56(8): 61-72.
HU Zheng-biao, HE Dong-feng. Research progress of collaborative optimization for material flow and energy flow in steel manufacturing process[J]. Iron and Steel, 2021, 56(8): 61-72.
[1] 上官方钦,周继程,王海风,等. 气候变化与钢铁工业脱碳化发展[J]. 钢铁,2021,56(5):1.(SHANGGUAN Fang-qin,ZHOU Ji-cheng,WANG Hai-feng,et al. Climate change and decarbonization development of steel industry[J]. Iron and Steel,2021,56(5):1.) [2] 王维兴. 钢铁工业能耗现状和节能潜力分析[C]//第十二届中国钢铁年会论文集——能源、环保与资源利用. 北京:中国金属学会,2019:1.(WANG Wei-xing. The status of energy consumption and analysis of energy saving potential in iron and steel industry[C]//Proceedings of the 12th China Iron And Steel Annual Meeting—Energy,Environmental Protection and Resource Utilization. Beijing:The Chinese Society for Metals,2019:1.) [3] SUN Wen-qiang,WANG Qiang,ZHOU Yue,et al. Material and energy flows of the iron and steel industry:Status quo,challenges and perspectives[J]. Applied Energy,2020,268:114946. [4] 殷瑞钰. 钢铁制造流程的能量流行为和能量流网络问题[J]. 工程研究——跨学科视野中的工程,2010,2(1):1.(YIN Rui-yu. The energy flow behavior and energy flow network in steel manufacturing process[J]. Journal of Engineering Studies,2010,2(1):1.) [5] 郑忠,黄世鹏,龙建宇,等. 钢铁智能制造背景下物质流和能量流协同方法[J]. 工程科学学报,2017,39(1):115.(ZHENG Zhong,HUANG Shi-peng,LONG Jian-yu,et al. Synergetic method between materials flow and energy flow in iron and steel intelligent manufacturing[J]. Chinese Journal of Engineering,2017,39(1):115.) [6] 殷瑞钰. 冶金流程工程学[M]. 北京:冶金工业出版社,2009.(YIN Rui-yu. Metallurgical Process Engineering[M]. Beijing:Metallurgical Industry Press,2009.) [7] 殷瑞钰. 冶金流程集成理论与方法[M]. 北京:冶金工业出版社,2013.(YIN Rui-yu. Theories and Methods of Metallurgical Process Integration[M]. Beijing:Metallurgical Industry Press,2013.) [8] 殷瑞钰. 从开放系统、耗散结构到钢厂的能量流网络化集成[J]. 中国冶金,2010,20(8):1.(YIN Rui-yu. From open system and dissipative structure to the integration of energy flow network in steel manufacturing process[J]. China Metallurgy,2010,20(8):1.) [9] 蔡九菊,王建军,陆钟武,等. 钢铁企业物质流与能量流及其相互关系[J]. 东北大学学报,2006,27(9):79.(CAI Jiu-ju,WANG Jian-jun,LU Zhong-wu,et al. Material flow and energy flow in iron & steel industry and correlation between them[J]. Journal of Northeastern University,2006,27(9):79.) [10] 李小明,崔雅茹,郭宏烈. 氧气转炉物料平衡和热平衡电算软件[J]. 工业加热,2006,35(6):26.(LI Xiao-ming,CUI Ya-ru,GUO Hong-lie. Software of materials balance and heat balance calculation for steelmaking with oxygen converter[J]. Industrial Heating,2006,35(6):26.) [11] 刘远洋,贺东风,冯凯,等. 基于机理和数据驱动的转炉输入-输出混合模型[J]. 有色金属科学与工程,2018,9(2):13.(LIU Yuan-yang,HE Dong-feng,FENG Kai,et al. Converter input-output mixture model based on mechanism and data-driven[J]. Nonferrous Metals Science and Engineering,2018,9(2):13.) [12] WU Shuang-ping,XU An-jun,SONG Wei,et al. Structural optimization of the production process in steel plants based on flexsim simulation[J]. Steel Research International,2019,90(10):1. [13] 杨建平,洪宇杰,刘倩,等. 基于"炉机匹配"的炼钢连铸过程多工序运行仿真[J]. 中南大学学报(自然科学版),2020,51(3):587.(YANG Jian-ping,HONG Yu-jie,LIU Qian,et al. Simulation on multi-process operation in steelmaking-continuous casting process based on "furnace-caster matching"[J]. Journal of Central South University(Science and Technology),2020,51(3):587.) [14] 芦永明. 全板带型钢铁制造流程精准设计及其一体化生产[D]. 北京:北京科技大学,2012.(LU Yong-ming. Precise Design and Integrated Production for Steel Manufacturing Process of All Plate and Strip[D]. Beijing:University of Science and Technology Beijing,2012.) [15] 郑忠,龙建宇,高小强,等. 钢铁企业以计划调度为核心的生产运行控制技术现状与展望[J]. 计算机集成制造系统,2014,20(11):2660.(ZHENG Zhong,LONG Jian-yu,GAO Xiao-qiang,et al. Present situation and prospect of production control technology focusing on planning and scheduling in iron and steel enterprise[J]. Computer Integrated Manufacturing Systems,2014,20(11):2660.) [16] 刘士新,宋健海,王梦光. 钢铁企业按订单生产模式下合同池优化[J]. 控制理论与应用,2005,22(4):653.(LIU Shi-xin,SONG Jian-hai,WANG Meng-guang. Order pool optimization for make-to-order production in steel plant[J]. Control Theory and Applications,2005,22(4):653.) [17] Kalagnanam J R,Dawande M W,Lee T. The surplus inventory matching problem in the process industry[J]. Operations Research,2000,48(4):505. [18] 高聪,唐立新,唐建勋,等. 禁忌搜索算法解决钢铁企业生产合同计划优化问题[J]. 东北大学学报(自然科学版),2009,30(7):944.(GAO Cong,TANG Li-xin,TANG Jian-xun,et al. Tabu search for real order planning problem in steel industry[J]. Journal of Northeastern University(Natural Science),2009,30(7):944.) [19] LIU Shi-xin,TANG Jia-fu,SONG Jian-hai. Order-planning model and algorithm for manufacturing steel sheets[J]. International Journal of Production Economics,2006,98(1):30. [20] 王闯,刘青,李庆益,等. 基于改进单亲遗传算法的炼钢最优炉次计划模型[J]. 控制理论与应用,2013,30(6):734.(WANG Chuang,LIU Qing,LI Qing-yi,et al. Optimal charge plan model for steelmaking based on modified parthenogenetic algorithm[J]. Control Theory and Applications,2013,30(6):734.) [21] 高知新,李铁克,李俊芳. 热轧批量计划的模型与算法[J]. 辽宁工程技术大学学报(自然科学版),2010,29(1):139.(GAO Zhi-xin,LI Tie-ke,LI Jun-fang. Model and algorithm of hot rolling batch planning[J]. Journal of Liaoning Technical University(Natural Science),2010,29(1):139.) [22] 马天牧. 炼钢-连铸批量计划智能优化编制方法[D]. 沈阳:东北大学,2014.(MA Tian-mu. Intelligent Optimization Methods for Steelmaking-Continuous Casting Batch Planning[D]. Shenyang:Northeastern University,2014.) [23] Quelhadj D A. A Multi-Agent for Integrated Dynamic Scheduling of Steel Production[M]. Nottingham:University of Nottingham,2003. [24] TANG Li-xin,LUO Jia-xiang. A new ILS algorithm for cast planning problem in steel industry[J]. ISIJ International,2007,47(3):443. [25] 吕志民,徐金梧.一种适用于热送热装生产计划优化的方法[J].工程科学学报,2002,36(6):675.(LU Zhi-min,XU Jin-wu. Optimization method for hot charge rolling manufacture plan[J]. Chinese Journal of Engineering,2002,36(6):675.) [26] 郑忠,王永周,卢义,等. 考虑铸轧协调的炼钢-连铸-热轧一体化生产计划[J]. 钢铁,2020,55(12):107.(ZHENG Zhong,WANG Yong-zhou,LU Yi,et al. Integrated production planning of steelmaking-continuous casting-hot rolling considering coordination between casting and rolling[J]. Iron and Steel,2020,55(12):107.) [27] 李耀华,胡国奋,王伟,等. 炼钢-连铸-热轧一体化生产计划编制方法研究[J]. 控制工程,2005,12(6):549.(LI Yao-hua,HU Guo-fen,WANG Wei,et al. Research on the method of SM-CC-HR integrated production planning[J]. Control Engineering of China,2005,12(6):549.) [28] TANG Li-xin,LIU Ji-yin,RONG Ai-ying,et al. A review of planning and scheduling systems and methods for integrated steel production[J]. European Journal of Operational Research,2001,133(1):1. [29] 郑忠,朱道飞,高小强.钢厂炼钢连铸生产调度及重计划方法[J]. 重庆大学学报,2008,31(7):820.(ZHENG Zhong,ZHU Dao-fei,GAO Xiao-qiang. An approach of production scheduling and replanning in a steelmaking-continuous casting plant[J]. Journal of Chongqing University,2008,31(7):820.) [30] 苏冬平,陈文明,罗首章,等.人机交互调整炼钢连铸调度计划[J]. 冶金自动化,2005,29(3):17.(SU Dong-ping,CHEN Wen-ming,LUO Shou-zhang,et al. Adjustment of planning and scheduling for steelmaking and continuous casting with man-machine interactive[J]. Metallurgical Industry Automation,2005,29(3):17.) [31] 庞新富,俞胜平,郑秉霖,等. 炼钢连铸动态调度方法及其应用[J]. 石油化工高等学校学报,2007,20(3): 60.(PANG Xin-fu,YU Sheng-ping,ZHENG Bing-lin,et al. Dynamic scheduling method and its application for steelmaking and continuous casting[J]. Journal of Petrochemical Universities,2007,20(3):60.) [32] PAN Quan-ke. An effective co-evolutionary artificial bee colony algorithm for steelmaking-continuous casting scheduling[J]. European Journal of Operational Research,2016,250(3):702. [33] 蒋胜龙,郑忠. 考虑不确定加工时间的炼钢—连铸过程柔性调度方法[J]. 计算机集成制造系统,2019,25(1):103.(JIANG Sheng-long,ZHENG Zhong. Flexible scheduling approach for steelmaking-continuous casting process with uncertain processing times[J]. Computer Integrated Manufacturing Systems,2019,25(1):103.) [34] 芦永明,田乃媛,徐安军,等. 基于一体化生产的炼钢-连铸批量计划与调度[J]. 信息与控制,2011,40(5):715.(LU Yong-ming,TIAN Nai-yuan,XU An-jun,et al. Batch planning and scheduling of steelmaking-continuous casting based on integrated production[J]. Information and Control,2011,40(5):715.) [35] 朱宝琳,于海斌. 炼钢-连铸-热轧生产调度模型及算法研究[J]. 计算机集成制造系统,2003,9(1):33.(ZHU Bao-lin,YU Hai-bin. Production scheduling model and algorithm for steelmaking-continuous casting-hot rolling processes[J]. Computer Integrated Manufacturing Systems,2003,9(1):33.) [36] 陈爱玲,杨根科,吴智铭.轧制计划的优化模型及其算法的应用研究[J].系统仿真学报,2006,18 (9):2484. (CHEN Ai-ling,YANG Gen-ke,WU Zhi-ming. Rolling plan optimization model and algorithm for hot rolling processes[J]. Journal of System Simulation,2006,18(9):2484.) [37] 刘青,刘倩,杨建平,等. 炼钢连铸生产调度的研究进展[J]. 工程科学学报,2020,42(2):144.(LIU Qing,LIU Qian,YANG Jian-ping,et al. Progress of research on steelmaking-continuous casting production scheduling[J]. Chinese Journal of Engineering,2020,42(2):144.) [38] XU Zhao-jun,ZHENG Zhong,GAO Xiao-qiang. Operation optimization of the steel manufacturing process:A brief review[J]. International Journal of Minerals,Metallurgy and Materials. https://doi.org/10.1007/s12613-021-2273-7. [39] 张琦,蔡九菊,庞兴露,等. 钢铁联合企业煤气系统优化分配模型[J]. 东北大学学报,2011,32(1):98. (ZHANG Qi,CAI Jiu-ju,PANG Xing-lu,et al. Optimal distribution of by-product gases in iron and steel complex[J]. Journal of Northeastern University,2011,32(1):98.) [40] 张立宏,蔡九菊. 钢铁企业蒸汽利用方式的研究[J]. 工业加热,2007,36(5):1.(ZHANG Li-hong,CAI Jiu-ju. The research on steam utilization way of iron and steel enterprises[J]. Industrial Heating,2007,36(5):1.) [41] Kim J H,Yi H,Han C,et al. Plant-wide multiperiod optimal energy resource distribution and byproduct gas holder level control in the iron and steel making process under varying energy demands[J]. Computer Aided Chemical Engineering,2003,15(3):882. [42] Kim J H,Han C. Short-term multiperiod optimal planning of utility systems using heuristics and dynamic programming[J]. Industrial and Engineering Chemistry Research,2001,40(8):1928. [43] ZHAO Xian-cong,BAI Hao,SHI Qi,et al. Optimal scheduling of a byproduct gas system in a steel plant considering time-of-use electricity pricing[J]. Applied Energy,2017,195:100. [44] ZHAO Xian-cong,BAI Hao,LU Xin,et al. A MILP model concerning the optimisation of penalty factors for the short-term distribution of byproduct gases produced in the iron and steel making process[J]. Applied Energy,2015,148:142. [45] 施灿涛,刘自升,李铁克,等. 钢铁企业副产煤气优化调度问题模型及算法[J]. 工业工程与管理,2012,17(2):26.(SHI Can-tao,LIU Zi-sheng,LI Tie-ke,et al. Model and algorithm for the byproduct gases scheduling problem in iron and steel enterprises[J]. Industrial Engineering and Management,2012,17(2):26.) [46] 曾玉娇,孙彦广. 钢铁企业蒸汽-电力系统多时段优化调度[C]//第25届中国过程控制会议论文集. 大连:中国自动化学会过程控制专业委员会,2014.(ZENG Yu-jiao,SUN Yan-guang. Multi-period optimal scheduling of steam power system for iron and steel industry[C]//Proceedings of the 25th China Process Control Conference. Dalian:Process Control Committee of China Society of Automation,2014.) [47] 孙彦广,梁青艳,李文兵,等. 基于能量流网络仿真的钢铁工业多能源介质优化调配[J]. 自动化学报,2017,43(6):1065.(SUN Yan-guang,LIANG Qing-yan,LI Wen-bing,et al. Steel industry multi-type energy optimized scheduling with energy flow network simulation[J]. Acta Automatica Sinica,2017,43(6):1065.) [48] 贺东风,鲁晓旭,冯凯,等. 钢铁企业煤气-蒸汽-电力系统耦合优化调度[J]. 钢铁,2018,53(7):101.(HE Dong-feng,LU Xiao-xu,FENG Kai,et al. Integrated optimal scheduling of gas-steam-electricity system in steel plants[J]. Iron and Steel,2018,53(7):101.) [49] 鲁晓旭,贺东风,冯凯. 不同生产负荷下副产煤气调度建模和仿真[J]. 冶金能源,2018,37(2):3.(LU Xiao-xu,HE Dong-feng,FENG Kai. Modeling and simulation of by-product gas scheduling under different production load[J]. Energy for Metallurgical Industry,2018,37(2):3.) [50] De Oliveira Junior V B,Pena J G C,Salles J L F. An improved plant-wide multiperiod optimization model of a byproduct gas supply system in the iron and steel-making process[J]. Applied Energy,2016,164:462. [51] 张建良,王妤. 钢铁企业煤气系统的优化利用模型[J]. 内蒙古科技大学学报,2002,21(3):280.(ZHANG Jian-liang,WANG Yu. The optimizing model about the gas system of iron and steel company[J]. Journal of Inner Mongolia University of Science and Technology,2002,21(3):280.) [52] 丁毅,陈光,李莉,等. 钢铁企业能源流管理模型与系统架构探讨[J]. 钢铁,2012,47(10):87.(DING Yi,CHEN Guang,LI Li,et al. Discussion on construction of model and system on energy flow in the steel plant[J]. Iron and Steel,2012,47(10):87.) [53] 张琦,刘帅,徐化岩,等. 钢铁企业智慧能源管控系统开发与实践[J]. 钢铁,2019,54(10):125.(ZHANG Qi,LIU Shuai,XU Hua-yan,et al. Development and practice of smart energy management and control system in iron and steel works[J]. Iron and Steel,2019,54(10):125.) [54] 袁晴棠,殷瑞钰,曹湘洪,等. 面向2035的流程制造业智能化目标,特征和路径战略研究[J]. 中国工程科学,2020,22(3):148.(YUAN Qing-tang,YIN Rui-yu,CAO Xiang-hong,et al. Strategic research on the goals,characteristics,and paths of intelligentization of process manufacturing industry for 2035[J]. Strategic Study of CAE,2020,22(3):148.) [55] 王建军. 钢铁企业物质流、能量流及其相互关系研究与应用[D]. 沈阳:东北大学,2009.(WANG Jian-jun. Study on Material Flows,Energy Flows and Material Flow-Energy Flow Relationship in Iron and Steel Factory[D]. Shenyang:Northeastern University,2009.) [56] 龙妍,黄素逸,张洪伟. 物质流、能量流与信息流协同的初探[J]. 化工学报,2006,57(9):136.(LONG Yan,HUANG Su-yi,ZHANG Hong-wei. Approach to synergy among material flow,energy flow and information flow[J]. CIESC Journal,2006,57(9):136.) [57] Ashok S. Peak-load management in steel plants[J]. Applied Energy,2006,83(5):413. [58] XU Zhao-jun,ZHENG Zhong,GAO Xiao-qiang,et al. Reducing the fluctuation of oxygen demand in a steel plant through optimal production scheduling[J]. Journal of Cleaner Production,2021,282:124529. [59] HU Zheng-biao,HE Dong-feng,SONG Wei,et al. Model and algorithm for planning hot-rolled batch processing under time-of-use electricity pricing[J]. Processes,2020,8(1):42. [60] LIU Ying,DONG Hai-bo,Lohse Niels,et al. An investigation into minimising total energy consumption and total weighted tardiness in job shops[J]. Journal of Cleaner Production,2013,65(4):87. [61] Andreassi L,Ciminelli M V,Feola M,et al. Innovative Modeling and optimal operation of energy management:And buildings,method for energy systems[J]. Energy,2009,41(4):436. [62] Agha M H,Thery R,Hetreux G,et al. Integrated production and utility system approach for optimizing industrial unit operations[J]. Energy,2010,35(2):611. [63] LI Ting,Castro Pedro-M,LÜ Zhi-min. Life cycle assessment and optimization of an iron making system with a combined cycle power plant:A case study from China[J]. Clean Technologies and Environmental Policy,2017,19(4):1133. [64] 刘民. 基于数据的生产过程调度方法研究综述[J]. 自动化学报,2009,35(6):785.(LIU Min. A survey of data-based production scheduling methods[J]. Acta Automatica Sinica,2009,35(6):785.) [65] Azadeh A,Negahban A,Moghaddam M. A hybrid computer simulation-artificial neural network algorithm for optimisation of scheduling rule selection in stochastic job shop scheduling problems[J]. International Journal of Production Research,2012,50(2):551. [66] LI Der-Chiang,WU Chih-Sen,TSAI Tung-I,et al. Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge[J]. Computers and Operations Research,2007,34(4):966. [67] 郑忠,黄世鹏,李曼琛,等. 钢铁制造流程的物质流和能量流协同优化[J]. 钢铁研究学报,2016,28(4): 4.(ZHENG Zhong,HUANG Shi-peng,LI Man-chen,et al. Synergetic optimization between material flow and energy flow in steel manufacturing process[J]. Journal of Iron and Steel Research,2016,28(4):4.)
2021, Vol. 56 
