东南大学学报(自然科学版)2017,Vol.47Issue(1):98-106,9.DOI:10.3969/j.issn.1001-0505.2017.01.018
基于流场诊断的燃煤电站SCR系统喷氨优化及试验验证
Optimization and experimental verification of AIG tuning for SCR system of coal-fired power station based on diagnose of flow field
摘要
Abstract
To realize the operation of SCR(selective catalytic reduction)system safely and efficient-ly,CFD(computational fluid dynamics)numerical simulation technique is adopted to carry out flow field optimization of SCR system process aimed at the coal-fired power station of 660 MW.The weight of spraying-ammonium branch pipe valve was analyzed based on the flue gas flow characteris-tics in front of ammonium grid,and the optimization research of AIG(ammonia injection grid)tun-ing was launched based on the weight-valve.The velocity/concentration distribution characteristics of the flue gas in the first-layer catalyst inlet cross section were analyzed before and after optimiza-tion.Meanwhile,the cold mold experiment device was built to verify the conclusion of the simula-tion research.Experimental results indicate that reasonable optimization of the guide plate improves the uniformity of the flow field distribution,and the relative decrease of velocity is about 7 1 .30%. AIG tuning based on weight-valve realizes the good match of spraying ammonium and flue gas flow characteristic and improves the uniformity of the concentration distribution,and the relative decrease of concentration amounts is about 24.95%.Cold model experimental values are in agreement with that of numerical simulation and the deviation is only about 3 .08%.And the cooperation of flow field and weight-valve AIG tuning optimization contributes to a maximum advancement of the SCR system operating performance in the coal-fired power station.关键词
流场诊断/喷氨优化/权重阀/CFD/冷态模化试验Key words
diagnose of flow field/AIG tuning optimization/weight-valve/computational fluid dy-namics (CFD)/cold mold experiment分类
资源环境引用本文复制引用
刘国富,沈德魁,肖睿..基于流场诊断的燃煤电站SCR系统喷氨优化及试验验证[J].东南大学学报(自然科学版),2017,47(1):98-106,9.基金项目
江苏省科技厅社会发展类资助项目(BE2015677). ()