SCR烟气脱硝系统氨逃逸浓度在线预测方法研究

doi:10.11930/j.issn.1004-9649.201708302

中国电力 ›› 2018, Vol. 51 ›› Issue (10): 145-149.DOI: 10.11930/j.issn.1004-9649.201708302

SCR烟气脱硝系统氨逃逸浓度在线预测方法研究

宋玉宝¹, 程世军², 姚燕¹, 安德欣², 金理鹏¹, 方朝君¹

1. 西安热工研究院苏州分院, 江苏苏州 215153;
2. 华能沁北电厂有限责任公司, 河南济源 459012

收稿日期:2017-09-28 修回日期:2017-12-08 出版日期:2018-10-05 发布日期:2018-10-12
作者简介:宋玉宝(1972-),男,博士,高级工程师,从事电站锅炉氮氧化物控制技术研究,E-mail:sybyuyu@126.com

Study on Online SCR Ammonia Slip Prediction Method

SONG Yubao¹, CHENG Shijun², YAO Yan¹, AN Dexin², JIN Lipeng¹, FANG Zhaojun¹

1. Xi'an Thermal Power Research Institute Co., Ltd. Suzhou Branch, Suzhou 215153, China;
2. Huaneng Qinbei Power Plant Co., Ltd., Jiyuan 459012, China

Received:2017-09-28 Revised:2017-12-08 Online:2018-10-05 Published:2018-10-12

摘要/Abstract

摘要： 燃煤机组烟气排放连续监测系统（CEMS）对SCR氨逃逸浓度的测量结果不十分可靠，易造成运行中无序过量喷氨和加剧空气预热器硫酸氢铵粘结堵塞。在实验室和现场检测基础上，结合SCR反应器潜能及其劣化趋势分析，提出了氨逃逸浓度在线预测方法和计算式。以某350 MW机组为例，介绍氨逃逸浓度预测步骤和分析结果。初步应用结果表明，根据机组实时运行负荷、NO_x浓度及脱硝效率等DCS参数，可在线预测氨逃逸浓度，用以指导喷氨量调节；同时，氨逃逸浓度预测值可用于SCR催化剂层的寿命管理预警与决策。

关键词: 燃煤机组, 烟气脱硝, SCR反应器潜能, 氨逃逸, 在线预测, 硫酸氢铵

Abstract: The excessive ammonia injection due to the unreliable ammonia CEMS analysis result can cause high ammonia slip and severe ammonium bisulfate deposition on air preheater. On the basis of laboratory and field tests, a novel prediction method for ammonia slip considering the SCR reactor potential and deactivation tendency, is studied and presented. The application results on a 350 MW unit indicated that the ammonia slip could be predicted online based on the real-time DCS parameters, such as unit load, NO_x concentration inlet and De-NO_x efficiency, etc. With the predicted ammonia slip online, the ammonia flow injection can be adjusted properly to avoid excessive ammonia slip. Furthermore, the predicted ammonia slip value can be used for the early warning and decision making of lifetime management for SCR catalyst layer.

Key words: coal power unit, flue gas denitrification, SCR reactor potential, ammonia slip, prediction online, ammonium bisulfate

中图分类号:

X511
TM621.9

宋玉宝, 程世军, 姚燕, 安德欣, 金理鹏, 方朝君. SCR烟气脱硝系统氨逃逸浓度在线预测方法研究[J]. 中国电力, 2018, 51(10): 145-149.

SONG Yubao, CHENG Shijun, YAO Yan, AN Dexin, JIN Lipeng, FANG Zhaojun. Study on Online SCR Ammonia Slip Prediction Method[J]. Electric Power, 2018, 51(10): 145-149.

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https://www.electricpower.com.cn/CN/Y2018/V51/I10/145

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SCR烟气脱硝系统氨逃逸浓度在线预测方法研究

Study on Online SCR Ammonia Slip Prediction Method

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Study on Online SCR Ammonia Slip Prediction Method

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