摘要
针对当前大型燃煤机组深度调峰背景下监测预警迟滞易导致风机失速的问题,本文从热力学角度出发,重点评估风机实时运行状态;结合风机热态性能修正实验数据;利用C#语言框架搭建了一套完善的信息采集和在线智能检测实时预警平台;并在某330 MW亚临界机组上完成现场试验验证。平台运行结果表明:改进后的多点矩阵式测量设备可实现宽截面非稳态含尘流场的精准可靠测量,误差低于10%;同时可通过显示实时开度、安全裕量、流量偏差及阻力曲线综合评判当前风机运行性能,实现及时预警,为现场运行人员提供准确的数据指导,具有推广价值。
In response to the problem of monitoring and early warning of large coal-fired power plants that lead to stagnation of the fan,this study starts from the perspective of thermodynamics,focusing on evaluating the real-time operation status of the fan,combined with the thermal performance correction experimental data of the fan,using the C#language framework to build a complete set of information collection and online intelligent detection real-time early warning platform.The on-site test verification was completed on a certain 330 MW sub-critical unit.The operation results of the platform show that the improved multi-point matrix measurement equipment can achieve accurate and reliable measurement of wide cross-section non-stable dust-containing flow fields,with errors below 10%;The resistance curve comprehensively judges the current fan operation performance,achieves timely early warning,and provides accurate data guidance for on-site operators,and has the value of promotion.
作者
靳旺宗
秦峰
李涛
张耀丰
田帅
郭建
谭厚章
伍力拓
吕钊敏
程上方
JIN Wangzong;QIN Feng;LI Tao;ZHANG Yaofeng;TIAN Shuai;GUO Jian;TAN Houzhang;WU Lituo;LV Zhaomin;CHENG Shangfang(Inner Mongolia Guohua Zhungeer Power Generation Co.,Ltd.Ordos 029200,China;MOE Key Laboratory of Thermo-Fluid Science and Engineering,School of Energy and Power Engineering,Xi′an Jiaotong University,Xi′an 710049,China;Xi′an Gree Power Technology Co.,Ltd,Xi′an 710049,China)
出处
《洁净煤技术》
CAS
CSCD
北大核心
2024年第S01期383-391,共9页
Clean Coal Technology
关键词
火电机组
风机
精准测量
在线监测
实时预警
thermal power plant
fan
accurate measurement
online monitoring
real-time early warning
