Clean Coal Technology

2024, v.30(S1) 678-683

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动调轴流风机智能监控和节能运行的实现
Implementation of intelligent monitoring and energy-saving operation of axial induced draft fan

龚程,种西虎,邢岳,彭鹏,周倜
GONG Cheng,CHONG Xihu,XING Yue,PENG Peng,ZHOU Ti

摘要(Abstract):

动调轴流风机作为燃煤机组的重要辅机之一,超低排改造后,由于烟气侧系统阻力增加,引风机失速等故障率较高,在实际燃煤电站运行生产中,生产人员无法直观判断引风机运行工况点在性能曲线图中的位置,不能直观掌握风机工作状态,失速现象的产生不能提前预警。同时,3大风机厂用电率较高,缺乏有效的节能手段。因此,实现引风机的智能监控和不同工况下送引、风机的节能运行具有重要意义。实验证明,通过建立智能监控模型,为技术人员提供实时可视化监控画面,实现引风机进行实时监控和失速预警,保障机组安全运行;通过建立送、引风机节能运行模型,为技术人员提供最优氧量调节区间,能够降低风机的厂用电率,提升机组运行的经济性。
As one of the important auxiliary machines of coal-fired power units, the dynamic axial flow fan has a high failure rate due to the increased resistance of the flue gas side system and the stall of the induced draft fan after ultra-low emission transformation, the production personnel cannot intuitively judge the position of the induced draft fan operating conditions in the performance curve, cannot intuitively grasp the working state of the fan, and the stall phenomenon cannot be warned in advance. At the same time, the three major fan plants have a high electricity consumption rate. Therefore, it is of great significance to realize the intelligent monitoring of induced draft fans and the energy-saving operation of feeding and directing fans under different working conditions. Experiments show that by establishing an operation monitoring model, the induced draft fan can be monitored in real time and stalled early warning, providing real-time pictures for operators to ensure the safe operation of the unit. By establishing an energy-saving operation model of the supply fan and induced draft fan, the optimal oxygen adjustment interval is provided for the operator, which can reduce the factory power consumption rate of the fan and improve the economy of the unit operation.

关键词(KeyWords): 调轴流风机;风机失速;智能监控;节能运行
Dynamically-regulated axial draft fan;Unit load;Intelligent monitoring;Energy-efficient operation

Abstract:

Keywords:

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作者(Author): 龚程,种西虎,邢岳,彭鹏,周倜
GONG Cheng,CHONG Xihu,XING Yue,PENG Peng,ZHOU Ti

DOI: 10.13226/j.issn.1006-6772.23072702

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