The research focuses on the following three aspects , aiming at problems of lower secondary energy recovery efficiency and inappropriate energy medium using in iron and steel enterprises: (1) On the basis of current study of energy medium properties and their optimal use, as the hierarchical design of energy level matching and cascade utilization for guidance, dissipative structure of energy flow network, which is muti-medium and hierarchically of recycling process in iron and steel production, is mainly discussed.(2) According to the optimizing control problem of energy flow network above , the coupling relationship between material flow and energy flow is discussed in the production process of the equipment. Through analysis and calculation, energy optimization control constraint conditions can be summarized,which can reflect the process characteristics of the equipment of energy utilization,conversion and recovery, and finally the relevant mathematical model is established. (3) According to the disturbances due to raw material and market uncertainty, equipment maintenance, equipment failure, process change, time variation and so on, which are often occurred in iron and steel enterprise, the reconstruction of energy flow network and its dynamic optimization control in the condition of different disturbance, are analyzed. the dynamic optimization control model can be established, which can adapt to the network reconfiguration and reflect the actual of enterprise. Naturally, the purposes of rapid response, optimization control, stable production, energy-saving and emission-reduction can be achieved.
本课题针对当前钢铁企业普遍存在的二次能源回收利用效率不高、能源介质使用不尽合理等问题,重点研究以下三个方面的内容:(1)在当前能源介质属性及其优化利用的研究基础上,以能级匹配、梯级利用的分层设计思想为指导,重点研究并建立可循环钢铁流程能源高效利用的多介质、分层次能量流网络耗散结构;(2)针对钢铁企业多介质、分层次能量流网络结构优化调控问题,研究物质流和能量流在生产工艺装备上的耦合关系,通过分析和计算,提取出能够反映能源利用及其转换和回收设备工艺特征的能源优化调控约束条件,进而建立数学模型;(3)针对钢铁企业经常出现的由于原料/市场不确定、设备检修、设备故障、工艺变化、时间偏差等扰动,研究不同扰动条件下能量流网络重构及其动态优化调控问题,建立能够适应网络重构、反映企业实际的动态优化调控模型,从而达到"快速反应、优化调控、稳定生产、节能减排"的目的。
课题以首钢京唐可循环钢铁生产流程为研究对象,以“能级匹配、梯级利用”、“分层构建、耦合集成”的设计思想为指导,研究了焦炉煤气、高炉煤气、转炉煤气以及中压、过热、低压三种蒸汽和电力优化的产生、分配、转换和回用流转网络,分别构建了可循环钢铁流程煤气能量流网络、蒸汽能量流网络和电力能量流网络结构。在此基础上,以“充分回收,高效利用”、“动态调控、紧凑协同”的运行管控思想为指导,以煤气—蒸汽—电力系统运行成本最低为目标函数,建立了煤气—蒸汽—电力多介质优化调控数学模型,并采用粒子群算法进行优化求解,结果表明该模型可有效优化钢铁企业煤气—蒸汽—电力系统调度,从而降低煤气—蒸汽—电力能量流网络运行成本。最后,课题针对煤气供应不足和产汽设备检修或发生故障两种生产运行不稳定情况,对所建煤气—蒸汽—电力能量流网络动态优化调控,结果表明所建模型能够达到“快速反应、优化调控、稳定生产、节能减排”的目的。
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数据更新时间:2023-05-31
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