高炉煤气管网水力建模及调度策略

doi:10.12068/j.issn.1005-3026.2023.01.010

摘要/Abstract

摘要： 通过分析某钢铁企业高炉煤气管网的结构与设备运行特性，考虑管网压力与流量之间的关系，建立了高炉煤气管网水力模型，用于制订高炉煤气调度策略.案例研究结果显示，1700热轧流量下降时，管网压力随之升高，压力升至上限20kPa时，需依次开启1#和2#放散塔并调节放散量.当放散量达到84400m³/h时，管网压力可维持在允许范围内.4#和6#高炉休风时，管网压力急剧下降，需关停辅助锅炉与2# 80MW煤气发电机组以恢复管网压力.增设煤气柜后，管网压力稳定在13kPa左右.在压力相对误差<0.01%，流量相对误差<0.8%时，各工况模型计算时间较短，为3.59～4.46s.

关键词: 高炉煤气管网；水力建模；流量；压力；调度策略

Abstract: To develop a set of accurate scheduling scheme of blast furnace gas (BFG) for the whole plant， the structure and operation characteristics of the BFG pipeline network of an integrated steelworks are analyzed. Considering the correlation between the pressure and flow， a hydraulic model of BFG pipeline network is established to make scheduling strategy of BFG pipeline network. The results of case study show that the pressure of the pipeline network increases with the decrease of the flow rate in the 1700 hot rolling mill. When the pressure rises to the upper limit of 20 kPa， it is necessary to open the 1# and 2# flare towers and adjust the volume of discarding BFG. The pipeline network pressure can be maintained within the allowable range if the discarding reaches 84400m³/h. When 4# and 6# blast furnaces take blowing-down， the pipeline network pressure drops sharply. Therefore， it is necessary to shut down the auxiliary boilers and 2# 80 MW gas generator unit to restore the pipeline network pressure. The pipeline network pressure is stable at 13 kPa by setting a gasholder. When the pressure relative error is less than 0.01% and the flow relative error is less than 0.8%， the calculation time of the model for each working condition is shorter， ranging from 3.59 to 4.46 s.

Key words: blast furnace gas pipeline network; hydraulic modelling; flow rate; pressure; scheduling scheme

中图分类号:

TK01

房晓晴，刘书含，孙文强. 高炉煤气管网水力建模及调度策略[J]. 东北大学学报（自然科学版）, 2023, 44(1): 69-75.

FANG Xiao-qing， LIU Shu-han， SUN Wen-qiang. Hydraulic Modelling and Scheduling Scheme of Blast Furnace Gas Pipeline Network[J]. Journal of Northeastern University(Natural Science), 2023, 44(1): 69-75.

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