考虑煤气调度的钢铁园区能量流-物质流协同优化方法

Collaborative optimization method of energy and material flows in iron and steel park considering gas scheduling

为促进钢铁行业绿色低碳转型,提出一种钢铁园区能量流-物质流协同优化调度方法,充分挖掘生产系统与能源系统协同优化潜力。通过分析园区高炉、转炉、电炉工序的时序特性与物料关系,建立面向生产系统的物质流模型。考虑各生产工序的能耗特性和煤气产耗情况,建立计及煤气调度的能量流-物质流耦合模型。基于上述模型,以系统运行成本最小化和最低碳排为目标,对钢铁园区能量流-物质流进行协同优化调度,得到高炉、转炉、电炉生产设备的最优生产策略以及电力、煤气、焦炭能源的最佳调度结果。以山西某钢铁园区为算例对所提方法进行验证,结果表明,在满足钢铁园区生产计划要求的前提下,所提方法通过物质流与能量流的协同调控可使钢铁园区的日碳排放量降低9.56%,系统总成本降低6.12%。

In order to promote green and low-carbon transformation of the iron and steel industry,a synergistic energy flow-material flow optimization scheduling method is proposed for the iron and steel park,which fully exploits the synergistic optimization potential of production system and energy system.A material flow model for the production system is established by analyzing the timing sequence characteristic and material relation of blast furnace,converter,and electric furnace processes in the park.Considering the energy consumption characteristic of each production process and gas production and consumption condition,an energy flow-material flow coupling model is established taking into account the gas scheduling.Based on the above model,the synergistic energy flow-material flow optimization scheduling of iron and steel park is carried out with the objectives of minimum system operation cost and minimum carbon emission,and the optimal production strategy for the production equipments of blast furnace,converter,and electric furnace,as well as the optimal scheduling results for energy sources of electricity,gas,and coke are obtained.An iron and steel park in Shanxi Province is taken for example to verify the proposed method,and the results show that under the premise of meeting the production plan requirements of iron and steel park,the proposed method can reduce the daily carbon emission of iron and steel park by 9.56%and reduce the total system cost by 6.12%through the synergistic control of material flow and energy flow.