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钢铁制造流程物质流与能量流协同优化研究进展
引用本文: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.
作者姓名:胡正彪  贺东风
作者单位:北京科技大学冶金与生态工程学院,北京100083
基金项目:国家自然科学基金资助项目(51574032);国家重点研发计划资助项目(2017YFB0304001)
摘    要: 钢铁企业具有流程长、能耗高、排放量大等特点,钢铁制造流程物质流与能量流的协同优化是实现高层次系统节能的关键。为此,对钢铁制造流程物质流和能量流优化的研究进展与应用进行了综述,在此基础上阐述了钢铁制造流程物质流与能量流协同优化的主要研究方向,即物质流与能量流的相互影响和协同规律研究、考虑能源约束的生产计划编制和物流与能流耦合调度。提出了解决协同优化模型构建和求解的关键在于科学的物质流与能量流协同表征方法、生产计划与能源计划时间粒度的统一和智能算法的优化。

关 键 词:钢铁流程  生产计划  能源计划  协同优化  管控系统
收稿时间:2021-04-22

Research progress of collaborative optimization for material flow and energy flow in steel manufacturing process
HU Zheng-biao,HE Dong-feng.Research progress of collaborative optimization for material flow and energy flow in steel manufacturing process[J].Iron & Steel,2021,56(8):61-72.
Authors:HU Zheng-biao  HE Dong-feng
Affiliation:School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China
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.
Keywords:steel process  production plan  energy planning  collaborative optimization  control system  
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