火力发电厂烟气SCR脱硝自动控制研究现状与展望
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Review and Prospect of Automatic Control System for Flue Gas SCR Denitration in Steam Power Station
  • 作者:牛玉广 ; 潘岩 ; 李晓彬
  • 英文作者:NIU Yu-guang;PAN Yan;LI Xiao-Bin;School of Control and Computer Engineering,North China Electric Power University;
  • 关键词:火电机组 ; 烟气脱硝 ; 环境保护 ; 自动控制 ; 优化
  • 英文关键词:power plant units;;flue gas denitration;;environment protection;;automatic control;;optimization
  • 中文刊名:RNWS
  • 英文刊名:Journal of Engineering for Thermal Energy and Power
  • 机构:华北电力大学控制与计算机工程学院;
  • 出版日期:2019-04-15 14:21
  • 出版单位:热能动力工程
  • 年:2019
  • 期:v.34;No.221
  • 基金:国家重点研发计划(2017YFB0902100)~~
  • 语种:中文;
  • 页:RNWS201904004
  • 页数:9
  • CN:04
  • ISSN:23-1176/TK
  • 分类号:9-17
摘要
火力发电烟气选择性催化还原(Selective catalytic reduction,SCR)脱硝系统投运既需满足环保政策要求,又要尽量压缩成本,提升其自动控制水平。从控制角度出发,将脱硝系统研究成果按被控对象建模与控制系统优化分为两类。针对常规建模普遍存在的建模方向单一问题,提出未来模型应同时包含化学反应机理和流场数值模拟等角度,能够更全面地反应脱硝对象特性;为实现更优脱硝控制品质,提出应用大数据和深度控制思想可作为未来脱硝控制优化的重要方案。在总结已有成果的基础上,提出建立模型与控制器紧密联系的完整脱硝控制体系是为未来的发展目标。
        The operation of power plant flue gas selective catalytic reduction(SCR) denitration system should meet the requirements of environmental policies and try to reduce costs.It is of great significance to improve its automatic control level.From control standpoint,this paper divides the research results of denitration system into two categories according to the model of controlled object and the optimization of control system.Aiming at the singleness of general modeling direction,it is proposed that the future model should include both chemical reaction mechanism and numerical simulation of flow field,which can more comprehensively capture the denitration object characteristics.And in order to achieve better denitration control quality,this paper proposes that big data and depth control can be used as an important scheme for future denitration control optimization.Based on the summary of existing achievements,a complete denitration control system closely combining model and controller is proposed as the future development goal.
引文
[1]LUAN Ji-yi,SUN Rui,WU Shao-hua,et al.Experimental studies on reburning of biomasses for reducing NOxin a drop tube furnace[J].Energy&Fuels,2009,23(3):1412-1421.
    [2]高正阳,阎维平,刘忠.低挥发分烟煤再燃还原NO的实验研究[J].华北电力大学学报,2003,30(1):41-44.GAO Zheng-yang,YAN Wei-ping,LIU Zhong.Experiments on lowvolatile bituminous coal reburning for NO reduction[J].Journal of North China Electric Power University,2003,30(1):41-44.
    [3]钟北京,施卫伟,傅维标.煤粉再燃过程中NO异相还原机理的重要性[J].燃烧科学与技术,2002,8(1):6-8.ZHONG Bei-jing,SHI Wei-wei,FU Wei-biao.Importance of heterogeneous mechanisms of NO reduction during reburning with pulverized coals[J].Journal of Combustion Science and Technology,2002,8(1):6-8.
    [4]WANG Zhi-hua,ZHOU Jun-hu,WEN Zheng-cheng,et al.Effect of mineral matter on NO reduction in coal reburning process[J].Energy&Fuels,2007,21(4):2038-2043.
    [5]徐莹,孙锐,栾积毅,等.生物质热解气及其成分气再燃还原NO的数值模拟与机制分析[J].中国电机工程学报,2009,29(35):7-14.XU Ying,SUN Rui,LUAN Ji-yi,et al.Numerical simulation and mechanism analysis on NO reduction by biomass pyrolysis gas and its contented species[J].Proceedings of the CSEE,2009,29(35):7-14.
    [6]周英贵.大型电站锅炉SNCR/SCR脱硝工艺实验研究、数值模拟及工程验证[D].南京:东南大学,2016.ZHOU Ying-gui.Hybrid SNCR/SCR denitration technology in large thermal power plant boiler:experimental study,numerical simulation and engineering validation[D].Nanjing:Southeast University,2016.
    [7]孙近文.大中型风电场混合储能系统优化配置及先进控制策略研究[D].武汉:华中科技大学,2017.SUN Jin-wen.Study on optimized deployment and advanced control strategies on hybrid energy storage system equipped for large and medium-size wind farm[D].Wuhan:Huazhong University of Science and Technology,2017.
    [8]张向宇,张波,陆续,等.火电厂尿素水解工艺设计及实验研究[J].中国电机工程学报,2016,36(9):2452-2458.ZHANG Xiang-yu,ZHANG Bo,LU Xu,et al.Crafts design and experimental study of urea hydrolysis to ammonia in thermal power plant[J].Proceedings of the CSEE,2016,36(9):2452-2458.
    [9]李恩家,杨顾顾,邢淑艳.尿素水解与热解在烟气脱硝工程中应用及对比分析[J].电站系统工程,2018,34(2):78-79.LI En-jia,YANG Gu-gu,XING Shu-yan.Application and comparison of urea hydrolysis and pyrolysis in flue gas De NOx[J].Power System Engineering,2018,34(2):78-79.
    [10]王洁,刘春红,童小忠.脱硝烟道流场分析的克里格法应用研究[J].中国电机工程学报,2018,38(6):1751-1759.WANG Jie,LIU Chun-hong,TONG Xiao-zhong.Application of Kriging method for flow analysis of denitrification reactor[J].Proceedings of the SCEE,2018,38(6):1751-1759.
    [11]田原润,马剑宇.1 000 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 Yuan-run,MA Jian-yu.Flue flow field optimization of flue gas denitration system in 1 000 MW unit[J].Thermal Power Generation,2018,47(6):50-56.
    [12]孙虹,华伟,黄治军,等.基于CFD建模的1 000 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 Hong,HUA Wei,HUANG Zhi-jun,et al.CFD based numerical simulations on optimization of the ammonia spraying strategy in a 1 000 MW SCR denitrification system[J].Journal of Chinese Society of Power Engineering,2016,36(10):810-821.
    [13]孙胜,何建乐,刘法志.SCR脱硝系统喷氨格栅优化调整实验研究[J].环境与发展,2018(2):110-111.SUN Sheng,HE Jian-le,LIU Fa-zhi.Optimization and adjustment experiment study on ammonia injection grid of SCR denitration system[J].Environment and Development,2018(2):110-111.
    [14]马楠,徐伟祎,孙博.燃煤电站锅炉低NOx技术应用[J].电站系统工程,2018,34(4):75-78.MA Nan,XU Wei-yi,SUN Bo.Application of low-NOxtechnology at coal-fired utility boiler[J].Power System Engineering,2018,34(4):75-78.
    [15]李涛,陈坤,辛志波,等.超超临界1 000 MW机组零号高压加热器宽负荷回热技术[J].热力发电,2018,47(5):111-117.LI Tao,CHEN Kun,XIN Zhi-bo,et al.Wide-load regenerative technology of No.0 high-pressure heater in an ultra supercritical1 000 MW unit[J].Thermal Power Generation,2018,47(5):111-117.
    [16]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 Yuan-qiang,WU Guo-jiang,ZHAO Liang.Design optimization of ammonia injection grid in SCR denitrification system[J].Thermal Power Generation,2013,42(3):58-62.
    [17]BUZANOWSKI M A,BURLAGE P J,FADDA D Z.Reagent injection grid[P].US:7383850,2008-06-10.
    [18]NICKOLAEVICH E B.Apparatus for a nitrogen purge system[P].US:8728412,2014-05-20.
    [19]林钢,金强,袁景淇,等.基于CFD的SCR脱硝装置整流格栅优化设计[J].控制工程,2011,18:97-99.LIN Gang,JIN Qiang,YUAN Jing-qi,et al.Optimal design of the straightenwe grids for SCR-DeNOxfacility based on CFD simulations[J].Control Engineering of China,2011,18:97-99.
    [20]韩发年,闫志勇.SCR烟气脱硝工艺喷氨混合装置研究进展[J].化工进展,2015,34(12):4151-4157.HAN Fa-nian,YAN Zhi-yong.Advances in ammonia injection and mixing device of SCR-DeNOxsystem[J].Chemical Industry and Engineering Progress,2015,34(12):4151-4157.
    [21]陈拓,李德波,成志红,等.600 MW火力发电机组SCR脱硝系统超低排放改造性能试验[J].热能动力工程,2017,32(12):126-130.CHEN Tuo,LI De-bo,CHENG Zhi-hong,et al.Experimental research on performance test after SCR denitrification system nearzero emission reconstruction[J].Journal of Engineering for Thermal Energy and Power,2017,32(12):126-130.
    [22]黄飞,周健,谢新华,等.百万机组塔式炉脱硝供氨系统优化设计应用研究[J].热能动力工程,2018,33(7):95-99.HUANG Fei,ZHOU Jian,XIE Xin-hua,et al.Application study on the optimized ammonia supply system for the SCR equipment of a 1 000 WM unit[J].Journal of Engineering for Thermal Energy and Power,2018,33(7):95-99.
    [23]邓均慈,李德波.某电厂SCR脱硝催化剂严重磨损原因分析[J].热能动力工程,2014,29(5):580-585.DENG Jun-ci,LI De-bo.Analysis of the causes for serious tear and wear of denitrification catalyzer during the selective catalyzer reduction(SCR)process in a power plant[J].Journal of Engineering for Thermal Energy and Power,2014,29(5):580-585.
    [24]孙虹,华伟,黄治军,等.基于CFD建模的1 000 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 Hong,HUA Wei,HUANG Zhi-jun,et al.CFD-based numerical simulations on optimization oif the ammonia spraying strstegy in a 1 000 MW SCR denitrification system[J].Journal of Chinese Society of Power Engineering,2016,36(10):810-821.
    [25]ZUKERMAN R,VRADMAN L,HERSKOWITZ M,et al.Modeling and simulation of a smart catalytic converter combining NOx storage,ammonia production and SCR[J].Chemical Engineering Journal,2009,155(1/2):419-426.
    [26]张波,张伟,牛国平.300 MW机组锅炉SCR装置流场研究[J].热力发电,2012,41(7):22-25.ZHANG Bo,ZHANG Wei,NIU Guo-ping.Study on flow field of the SCR equipment for a 300 MW unit bolier[J].Thermal Power Generation,2012,41(7):22-25.
    [27]雷达,金保升.燃煤电站SCR内烟气流场及还原剂浓度场模拟与优化[J].煤炭学报,2009,34(3):394-399.LEI Da,JIN Bao-sheng.Numerical simulation and optimization of flue gas flow field and reagent concentration field in coal fired power station SCR system[J].Journal of China Coal Society,2009,34(3):394-399.
    [28]雷达,金保升.基于复相催化反应动力学的电站SCR系统三维数值模型[J].燃烧科学与技术,2010,16(3):236-240.LEI Da,JIN Bao-sheng.3-D Numerical model of a power station SCR system based on heterogeneous reaction kinetics[J].Journal of Combustion Science and Technology,2010,16(3):236-240.
    [29]雷达,金保升.喷氨格栅处烟气速度场对高效SCR均流与还原剂混合性能的影响[J].热能动力工程,2009,24(1):113-119.LEI Da,JIN Bao-sheng.Influence of the flue gas velocity field at an ammonia-injection grid on uniform flows and reducing-agent mixing perfor SCR(Selective Catalytic Reduction)device[J].Journal of Engineering for Thermal Energy and Power,2009,24(1):113-119.
    [30]TAN Li-gang,FENG Peng-fei,YANG Shu-biao,et al.CFD studies on effects of SCR mixers on the performance of urea conversion and mixing of the reducing agent[J].Chemical Engineering and Processing,2018,123(1):82-88.
    [31]KAUSHAL Ni,AMSINI S,JOHANNES Ja.Numerical investigation of adblue droplet evaporation and thermal decomposition in the context of NOx-SCR using a multi-component evaporation model[J].Energies,2018,11(1):222.
    [32]THOMAS L.Preparation of ammonia from liquid adblue-modeling approaches and future challenges[J].Chemie Ingenieur Technik,2018,90(6):783-794.
    [33]高学伟,付忠广,刘柄含,等.SCR脱硝系统PCA-HPSO-SVR大数据建模研究[J].自动化仪表,2017,38(7):15-19.GAO Xue-wei,FU Zhong-guang,LIU Bing-han,et al.Research on the big data modeling of SCR denitration system based on PCA-HPSO-SVR[J].Process Automation Instrumentation,2017,38(7):15-19.
    [34]秦天牧,林道鸿,杨婷婷,等.SCR烟气脱硝系统动态建模方法比较[J].中国电机工程学报,2017,37(10):2913-2919.QIN Tian-mu,LIN Dao-hong,YANG Ting-ting,et al.Comparative study on dynamic modeling methods of SCR denitration system[J].Proceeding of the CSEE,2017,37(10):2913-2919.
    [35]秦天牧,刘吉臻,方连航,等.基于改进互偏信息的火电厂SCR脱硝系统建模[J].动力工程学报,2016,36(9):726-738.QIN Tian-mu,LIU Ji-zhen,FANG Lian-hang,et al.Modeling of power plant SCR denitrification system based on improved partial mutual information method[J].Journal of Chinese Society of Power Engineering,2016,36(9):726-738.
    [36]翟永杰,张志超.基于现场数据的SCR脱硝反应器建模[J].计算机仿真,2014,31(10):141-144.ZHAI Yong-jie,ZHANG Zhi-chao.Modeling for SCR denitration reactor based on field data[J].Computer Simulation,2014,31(10):141-144.
    [37]董建勋,王松岭,李永华,等.选择性催化还原烟气脱硝过程数学模拟研究[J].热能动力工程,2007,22(5):569-573.DONG Jian-xun,WANG Song-ling,LI Yong-hua,et al.Mathematical simulation study of a selective catalytic-reduction-based fluegas denitration process[J].Journal of Engineering for Thermal Energy and Power,2007,22(5):569-573.
    [38]刘吉臻,秦天牧,杨婷婷,等.基于自适应多尺度核偏最小二乘的SCR烟气脱硝系统建模[J].中国电机工程学报,2015,35(23):6083-6088.LIU Ji-zhen,QIN Tian-mu,YANG Ting-ting,et al.SCR denitration system modeling based on self-adaptive multi-scale kernel partial least squares[J].Proceedings of the CSEE,2015,35(23):6083-6088.
    [39]黄庆华,宋丽云,吴锐,等.SCR脱硝催化反应模型的建立与验证[J].北京工业大学学报,2016,42(10):1532-1539.HUANG Qing-hua,SONG Li-yun,WU Rui,et al.Establishment and validation of the model for SCR De NOxcatalytic reaction[J].Journal of Beijing University of Technology,2016,42(10):1532-1539.
    [40]DHANUSHKODI S R,MAHINPEY N,WILSON M.Kinetic and2D reactor modeling for simulation of the catalytic reduction of NOxin the monolith honeycomb reactor[J].Process Safety and Environment Protection,2008,86:303-309.
    [41]王惠文,仪彬,叶明.基于主基底分析的变量筛选[J].北京航空航天大学学报,2008,34(11):1288-1291.WANG Hui-wen,YI Bin,YE Ming.Variable selection based on principal basis analysis[J].Journal of Beijing University of Aeronautics and Astronautics,2008,34(11):1288-1291.
    [42]赵宗让.电厂锅炉SCR烟气脱硝系统设计优化[J].中国电力,2005,38(11):69-74.ZHAO Zong-rang.Design optimization of SCR system for coalfired boilers[J].Electric Power,2005,38(11):69-74.
    [43]牛玉广,潘岩,黄文渊.基于神经网络的鱼群寻优和反馈线性化烟气脱硝控制[J].系统仿真学报,2018,30(7):2707-2714.NIU Yu-guang,PAN Yan,HUANG Wen-yuan.Artificial fish swarm and feedback linearization of flue gas denitration control based on neural network[J].Journal of System Simulation,2018,30(7):2707-2714.
    [44]朱宇翔.低负荷SCR脱硝系统的运行控制策略[J].电力科技与环保,2016,32(3):46-48.ZHU Yu-xiang.Operational strategy of SCR denitration system under low load[J].Electric Power Technology and Environmental Protection,2016,32(3):46-48.
    [45]马孝纯,段跃非,朱亚波.锅炉脱硝SCR法的控制策略研究[J].电站系统工程,2013,29(1):65-66.MA Xiao-chun,DUAN Yue-fei,ZHU Ya-bo.Control strategy of SCR De-NOxmethod for boiler[J].Power System Engineering,2013,29(1):65-66.
    [46]刘韬.火电机组脱硝系统测量与控制策略问题分析及优化[J].浙江电力,2016,35(6):42-44.LIU Tao.Analysis on measurement and control strategy for denitration system of thermal power generating units and its optimization[J].Zhejiang Electric Power,2016,35(6):42-44.
    [47]潘维加,邓沙.选择性催化还原烟气脱硝控制系统的分析[J].湖南电力,2009,29(6):20-22.PAN Wei-jia,DENG Sha.Analysis of control system of selective catalytic reduction flue gas denitrification[J].Hunan Electric Power,2009,29(6):20-22.
    [48]武宝会,崔利.火力发电厂SCR烟气脱硝控制方式及其优化[J].热力发电,2013,42(10):116-120.WU Bao-hui,CUI Li.SCR flue gas denitrification control and optimization in thermal power plants[J].Thermal Power Generation,2013,42(10):116-120.
    [49]李刚,贾晓静,武宝会,等.基于主导因素分析的SCR烟气脱硝系统喷氨量控制[J].热力发电,2016,45(8):99-103.LI Gang,JIA Xiao-jing,WU Bao-hui,et al.Spraying ammonia flow control system of SCR denitration system based on leading factor analysis[J].Thermal Power Generation,2016,45(8):99-103.
    [50]张秉权.尿素热解法脱硝系统自动控制调解回路[J].电站系统工程,2014,30(2):57-60.ZHANG Bing-quan.The automatic controlregulating circuit of urea pyrolysis SCR debitration system[J].Power System Engineering,2014,30(2):57-60.
    [51]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):161-167.ZHU Hong-wei,ZHOU Zhong-wei,HUANG Bo-bo.Study and application of automic control of flue gas denitration system[J].Automation and Instrumentation,2017(1):161-167.
    [52]孙东锋,黄启东,张永军,等.首台1 000 MW机组烟气超低排放改造后脱硝系统控制策略改进及探讨[J].华东电力,2014,42(11):2457-2460.SUN Dong-feng,HUANG Qi-dong,ZHANG Yong-jun,et al.DeNOxsystem control tactics after ultra-low flue gas emission reformation of the first 1 000 MW unit[J].East China Electric Power,2014,42(11):2457-2460.
    [53]马平,王凯宸,梁薇.基于前馈有约束DMC的锅炉烟气脱硝控制系统设计[J].热力发电,2017,46(11):73-79.MA Ping,WANG Kai-chen,LIANG Wei.Design of flue gas denitration control system based on feedforward constrained dynamic matrix control[J].Thermal Power Generation,2017,46(11):73-79.
    [54]Maria Bortman,Mayer Aladjem.A growing and purning method for radial basis function networks[J].Transaction on Neural Network,2009,20(6):1039-1045.
    [55]秦天牧.燃煤电站SCR烟气脱硝系统建模与喷氨量优化控制[D].北京:华北电力大学,2017.QIN Tian-mu.The optimal control of ammonia injection based on the SCR model of a coal-fired power plant[D].Beijing:North China Electric Power University,2017.
    [56]韩希昌,马阳,魏莱,等.模糊PID在SCR烟气脱硝系统中的仿真与应用[J].沈阳工程学院学报,2018,14(3):259-263.HAN Xi-chang,MA Yang,WEI Lai,et al.Simulation and application of fuzzy PID controller in SCR flue gas denitrification system[J].Journal of Shenyang Institute of Engineering,2018,14(3):259-263.
    [57]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 Hong-yu,ZHAO Qian,ZHANG Zhen-hua,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.
    [58]韩京清,张文革.大时滞系统的自抗扰控制[J].控制与决策,1999,14(4):354-358.HAN Jing-qing,ZHANG Wen-ge.ADRC control for large timedelay systems[J].Control and Decision,1999,14(4):354-358.
    [59]姜家国,郭为民,刘延泉,等.选择性催化还原脱硝系统Smith预估自抗扰控制[J].热力发电,2016,45(1):54-59.JIANG Jia-guo,GUO Wei-min,LIU Yan-quan,et al.Auto disturbance rejection control based on Smith predictor in SCR denitrification system[J].Thermal Power Generation,2016,45(1):54-59.
    [60]高学伟,付忠广,孙力,等.基于Hadoop分布式支持向量机球磨机大数据建模[J].河北大学学报,2017,37(3):309-315.GAO Xue-wei,FU Zhong-guang,SUN Li,et al.Big data modeling of ball mill based on distributed support vector machine on Hadoop platform[J].Journal of Hebei University,2017,37(3):309-315.
    [61]魏大千,王波,刘涤尘,等.高维随机矩阵描述下的量测大数据建模与异常数据检测方法[J].中国电机工程学报,2015,35:59-66.WEI Da-qian,WANG Bo,LIU Di-chen,et al.A method for WAMS big data modeling and abnormal data detection with large random matrices[J].Proceeding of the CSEE,2015,35:59-66.
    [62]张东霞,苗新,刘丽平,等.智能电网大数据技术发展研究[J].中国电机工程学报,2015,35(1):2-12.ZHANG Dong-xia,MIAO Xin,LIU Li-ping,et al.Research on development strategy for smart grid big data[J].Proceeding of the CSEE,2015,35(1):2-12.
    [63]K Cheon,J Kim,M Hamadache,et al.On replacing PID controller with deep learning controller for DC motor system[J].Journal of Automation and Control Engineering,2015,3(6):452-456.
    [64]WANG Fei-yin,Kim H M.Implementing adaptive fuzzy logic controllers with neural networks:a design paradigm[J].Journal of Intelligent&Fuzzy System:Application in Engineering and Technology,1995,3(2):165-180.
    [65]段艳杰,吕宜生,张杰,等.深度学习在控制领域的研究现状与展望[J].自动化学报,2016,42(5):643-653.DUAN Yan-jie,LYU Yi-sheng,ZHANG Jie,et al.Deep learning for control:the state of the art and prospects[J].ACTA Automatic Sinica,2016,42(5):643-653.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700