1.长沙矿冶研究院有限责任公司, 湖南省 长沙市 410012
2.中国华电集团有限公司福建分公司, 福建省 福州市 350002
3.华电电力科学研究院有限公司, 浙江省 杭州市 310030
[ "李子尚(1988), 女, 硕士, 工程师, 主要从事矿石清洁利用及污染物治理相关研究, 706319410@qq.com" ]
[ "朱仁涵(1977), 男, 高级工程师, 主要从事火电厂烟气污染物治理等环境保护技术管理工作, 44411345@qq.com" ]
[ "杜振(1985), 男, 硕士, 高级工程师, 主要从事火电厂污染物控制技术的研究与应用, zhen-du@chder.com" ]
收稿:2020-07-06,
纸质出版:2021-10-31
移动端阅览
李子尚, 朱仁涵, 杜振. SCR脱硝系统精准喷氨优化技术分析[J]. 发电技术, 2021,42(5):630-636.
Zishang LI, Renhan ZHU, Zhen DU. Analysis on the Optimization Technology of Precise Ammonia Injection in SCR Denitration System[J]. Power Generation Technology, 2021, 42(5): 630-636.
李子尚, 朱仁涵, 杜振. SCR脱硝系统精准喷氨优化技术分析[J]. 发电技术, 2021,42(5):630-636. DOI: 10.12096/j.2096-4528.pgt.20035.
Zishang LI, Renhan ZHU, Zhen DU. Analysis on the Optimization Technology of Precise Ammonia Injection in SCR Denitration System[J]. Power Generation Technology, 2021, 42(5): 630-636. DOI: 10.12096/j.2096-4528.pgt.20035.
为提高选择性催化还原(selective catalytic reduction,SCR)脱硝系统的运行水平,通过分析现有SCR脱硝控制系统的技术特点发现,测试仪表的滞后性是影响脱硝喷氨控制准确性和实时性的直接因素。为此,提出了脱硝系统精准喷氨的优化控制技术,将喷氨总量控制、分区喷氨控制和NO
x
浓度场精准测量等技术有机结合,构建以总量控制、分区喷氨调整、NO
x
浓度场精准测量前馈为主要手段的精准喷氨控制策略,从而提高喷氨控制的准确性和实时性,进一步降低脱硝系统的运行成本,减小氨逃逸的影响,为下一步精准喷氨优化技术的应用提供技术支撑。
In order to improve the operation level of selective catalytic reduction (SCR) denitration system
through the analysis of the technical characteristics of the existing control system of SCR denitration
it was found that the delay of existing test instruments is the direct factor affecting the accuracy and real-time performance of the denitration ammonia injection control. To improve the accuracy and real-time performance of ammonia injection control
the optimization control technology of precise ammonia injection in denitration system was proposed. Moreover
the technologies of the total amount control of ammonia injection
divisional ammonia injection control and precise measurement of NO
x
concentration field were organically combined to build a precise ammonia injection control strategy with total amount control
subarea ammonia injection adjustment and NO
x
concentration field precise measurement feedforward as the main means. This work is benefit to reduce the operation cost of denitration system and weaken the impact of escaping ammonia
and provides the technical support for the applicatio
n of the next precise ammonia injection optimization technology.
赵大周, 郑文广, 何胜, 等. 660MW机组SCR系统喷氨格栅堵塞的原因分析及优化[J]. 电站系统工程, 2016, 32(2): 77-79.
ZHAO D Z, ZHENG W G, HE S, et al. Analysis and optimization of cause of ammonia injection grid blockage in 660MW power unit SCR system[J]. Power System Engineering, 2016, 32(2): 77-79.
唐诗洁, 陆强, 曲艳超, 等. 基于遗传算法优化BP神经网络的SCR脱硝系统催化剂体积设计[J]. 发电技术, 2019, 40(3): 246-252.
TANG S J, LU Q, QU Y C, et al. Catalyst volume design in SCR denitrification system based on genetic algorithm optimized BP neural network[J]. Power Generation Technology, 2019, 40(3): 246-252.
陈崇明, 侯海萍, 邹斯诣, 等. 某电厂SCR烟气脱硝系统故障诊断[J]. 中国电力, 2016, 49(5): 63-66.
CHEN C M, HOU H P, ZOU S Y, et al. Fault diagnosis of the SCR system in a power plant[J]. Electric Power, 2016, 49(5): 63-66.
方朝君, 卢承政, 白晓龙. SCR脱硝系统超低排放运行优化技术研究[J]. 中国电力, 2018, 51(2): 143-148.
FANG Z J, LU C Z, BAI X L. Study on operation optimization of SCR denitrification with ammonia-injection for ultra-low emission[J]. Electric Power, 2018, 51(2): 143-148.
邹堃, 王丹秋. SCR烟气脱硝系统出口烟道NO x 测点技术改造[J ] . 发电技术, 2019, 40(2): 155-160.
ZOU K, WANG D Q. Technical transformation of NO x measuring point for outlet flue of SCR system[J ] . Power Generation Technology, 2019, 40(2): 155-160.
王建峰, 饶望平, 李壮, 等. NO x 低浓度排放影响因素的调平措施及效果分析[J ] . 中国电力, 2016, 49(4): 23-26.
WANG J F, RAO W P, LI Z, et al. The measures to regulate the influencing factors of low NO x emission and their effectiveness analysis[J ] . Electric Power, 2016, 49(4): 23-26.
田原润, 马剑宇. 1000 MW机组烟气脱硝系统烟道流场优化[J]. 热力发电, 2018, 47(6): 50-56.
TIAN Y R, MA J Y. Flue flow field optimization of flue gas denitration system in 1000MW unit[J]. Thermal Power Generation, 2018, 47(6): 50-56.
郭凯旋, 牛玉广. 基于NO x 浓度场实时检测的喷氨优化应用研究[J ] . 热能动力工程, 2017, 32(5): 88-94.
GUO K X, NIU Y G. Optimization of ammonia injection based on real-time detection of NO x concentration field[J ] . Journal of Engineering for Thermal Energy and Power, 2017, 32(5): 88-94.
曹志勇, 谭城军, 李建中, 等. 燃煤锅炉SCR烟气脱硝系统喷氨优化调整试验[J]. 中国电力, 2011, 44(11): 55-58.
CAO Z Y, TAN C J, LI J Z, et al. Experiment of optimization adjustment for ammonia injection of selective catalytic reduction flue gas denitration system in coal-fired boiler[J]. Electric Power, 2011, 44(11): 55-58.
方朝君, 金理鹏, 宋玉宝, 等. SCR脱硝系统喷氨优化及最大脱硝效率试验研究[J]. 热力发电, 2011, 40(11): 60-64.
FANG Z J, JIN L P, SONG Y B, et al. Performance optimization and maximum denitration efficiency analysis for SCR-DeNO x power plants[J ] . Thermal Power Generation, 2011, 40(11): 60-64.
汤元强, 吴国江, 赵亮. SCR脱硝系统喷氨格栅优化设计[J]. 热力发电, 2013, 42(3): 58-62.
TANG Y Q, WU G J, ZHAO L. Design optimization of ammonia injection grid in SCR denitrification system[J]. Thermal Power Generation, 2013, 42(3): 58-62.
杨新民. 智能控制技术在火电厂应用研究现状与展望[J]. 热力发电, 2018, 47(7): 1-9.
YANG X M. Application status and prospect of intelligent control technology in thermal power plants[J]. Thermal Power Generation, 2018, 47(7): 1-9.
朱洪伟, 周忠伟, 黄波波, 等. 烟气脱硝系统自动控制新技术研发与应用[J]. 自动化与仪器仪表, 2017(1): 161-163.
ZHU H W, ZHOU Z W, HUANG B B, et al. Development and application of new automatic control technology for flue gas denitration system[J]. Automation and Instrumentation, 2017(1): 161-163.
武宝会, 崔利. 火电厂SCR烟气脱硝控制方式及其优化[J]. 热力发电, 2013, 42(10): 116-119.
WU B H, CUI L. SCR flue gas denitrification control and optimization in thermal power plants[J]. Thermal Power Generation, 2013, 42(10): 116-119.
高阳. 火电机组SCR喷氨量的智能优化控制[D]. 北京: 华北电力大学, 2017.
GAO Y. Intelligent optimal control of SCR spray ammonia amount of thermal power unit[D]. Beijing: North China Electric Power University, 2017.
孙虹, 华伟, 黄治军, 等. 基于CFD建模的1000 MW电站锅炉SCR脱硝系统喷氨策略优化[J]. 动力工程学报, 2016, 36(10): 810-821.
SUN H, HUA W, HUANG Z J, et al. CFD-based numerical simulations on optimization of the ammonia spraying strategy in a 1000 MW SCR denitrification system[J]. Journal of Chinese Society of Power Engineering, 2016, 36(10): 810-821.
毛奕升, 吴智鹏, 张孝天. 火电厂SCR脱硝系统喷氨优化调整及烟气取样方法改进[J]. 中国电力, 2017, 50(4): 167-171.
MAO Y S, WU Z P, ZHANG X T. Optimization and adjustment of ammonia injection system and improvement of flue gas sampling method for SCR denitrification system of thermal power plants[J]. Electric Power, 2017, 50(4): 167-171.
翁骥, 王铮, 李小海, 等. SCR脱硝系统分区控制式喷氨格栅的优化[J]. 环境工程学报, 2017, 11(5): 2915-2919.
WENG J, WANG Z, LI X H, et al. Optimization of partition controlled ammonia-injection grid in SCR denitrification system[J]. Chinese Journal of Environmental Engineering, 2017, 11(5): 2915-2919.
伏甲琪, 郭为民, 刘延泉, 等. SCR烟气脱硝系统Smith预估条件积分型滑模控制[J]. 热力发电, 2017, 46(4): 93-98.
FU J Q, GUO W M, LIU Y Q, et al. Conditional integral sliding mode control for SCR denitrification system based on Smith predictor[J]. Thermal Power Generation, 2017, 46(4): 93-98.
赵海涛, 郭少娟. 基于神经元PID的SCR脱硝控制系统研究[J]. 自动化仪表, 2017, 38(5): 20-23.
ZHAO H T, GUO S J. Research on SCR denitrification control system based on neuron PID[J]. Process Automation Instrumentation, 2017, 38(5): 20-23.
武宝会, 李刚, 薛大禹, 等. SCR Control + 脱硝控制系统研究及其在660 MW机组的应用[J ] . 中国电力, 2017, 50(11): 175-179.
WU B H, LI G, XUE D Y, et al. Study on SCR Control + denitrification injection control system and its application in a 660MW unit[J ] . Electric Power, 2017, 50(11): 175-179.
周洪煜, 赵乾, 张振华, 等. 烟气脱硝喷氨量SA-RBF神经网络最优控制[J]. 控制工程, 2012, 19(6): 947-951.
ZHOU H Y, ZHAO Q, ZHANG Z H, et al. Sensitivity analysis radial basis function neural network control on spraying ammonia flow denitrification[J]. Control Engineering of China, 2012, 19(6): 947-951.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621