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基于离散相的选择性催化还原脱硝装置流场优化模拟 被引量:2

Flow Field Optimization and Simulation of Selective Catalytic Reduction Denitrification Device Based on Discrete Phase Model
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摘要 针对某660 MW超临界机组选择性催化还原(selective catalytic reduction,SCR)脱硝装置在实际运行中出现催化剂磨损和流动阻力大的问题,首先利用数值模拟软件FLUENT模拟研究了原始结构脱硝装置内的烟气速度场和飞灰浓度场分布情况其次进行了现场测试验证;然后在此基础上提出了优化设计方案;最后对优化方案进行了数值模拟和实施后的现场测试。结果表明:通过将反应器上方方形顶部改为楔形顶、适当增减导流板数量以及改变导流板间距可以优化烟气速度场及飞灰浓度场,降低流动阻力,并减小了飞灰颗粒对弯头处内侧壁面的磨损,避免了喷氨格栅及催化剂区域涡流的产生,在很大程度上提高了SCR脱硝装置的效率。 During the running of a 660 MW supercritical unit of an SCR(selective catalytic reduction)denitrification device,problems of catalyst abrasion and high flow resistance would occur.To solve the problems,first,the flue gas velocity field and fly ash concentration field distribution condition of the original denitrification device were simulated by software FLUENT.Secondly,the field test was carried out and optimized scheme was proposed.Finally,the numerical simulation and field test after the implementation of the optimization scheme were carried out.The results show that the flue gas velocity field and fly ash concentration field could be significantly optimized,which is realized by changing the reactor s square top to sloping top,increasing or decreasing appropriately the diversion plates number and changing the distance between the diversion plates.In addition,the flow resistance and the abrasion on the elbow s inner wall that cause by fly ash particles are reduced,and the eddy generation are avoided in the area of ammonia injection grid and catalyst.The efficiency of the SCR denitrification device is greatly improved.
作者 陈彩云 王磊 安敬学 马新灵 魏新利 绳冉冉 CHEN Cai-yun;WANG Lei;AN Jing-xue;MA Xin-ling;WEI Xin-li;SHENG Ran-ran(School of Chemical Engineering and Energy,Zhengzhou University,Zhengzhou 450001,China;Datang Central-China Electric Power Test Research Institute,Zhengzhou 450000,China)
出处 《科学技术与工程》 北大核心 2020年第24期10109-10116,共8页 Science Technology and Engineering
基金 河南省重点科技攻关计划(142102210072) 河南省高等学校重点科研项目(19A480005)。
关键词 离散相 选择性催化还原 流场优化 数值模拟 discrete phase selective catalytic reduction flow field optimization numerical simulation
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