锅炉技术2024，Vol.55Issue(4)：7-12,6.
基于初始氨覆盖率寻优的燃煤电站SCR脱硝系统机理建模
Mechanism Modeling of SCR DeNOx System in Coal-Fired Units Based on Initial Ammonia Coverage Fraction Optimization
摘要
Abstract
With large-scale integration of renewable energy generation into grid,the operating con-ditions of coal-fired units change rapidly,selective catalytic reduction(SCR)reactor inlet nitrogen oxides(NOx)concentration fluctuates dramatically.Traditional PID control can no longer meet the ultra-low emission standards for NOx,and it is necessary to establish an accurate model to predict the outlet NOx concentration in order to achieve fast and accurate ammonia injection control.How-ever,in the process of mechanism modeling,ammonia coverage fraction,a key data,is missing be-cause it cannot be measured,which affects model accuracy.To solve the problem of absence of NH3 coverage fraction,a method called initial ammonia coverage fraction optimization was proposed.Then the reaction constants and initial ammonia coverage fractions of the mechanism model were cal-ibrated by the coal-fired plant data with Improved Particle Swarm Optimization(IPSO)method.Results show that after initial ammonia coverage fraction optimization the performance of the mecha-nistic SCR model is obviously improved.Under typical conditions the average absolute percentage error of the test set is decreased by 17.1%.关键词
燃煤电站/氮氧化物/选择性催化还原/改进的粒子群算法/初始氨覆盖率寻优Key words
coal-fired power plant/NOx/SCR/IPSO/initial ammonia coverage frac-tions optimization分类
能源与动力引用本文复制引用
陈达,李德波,李峥辉,危由兴,李龙千,陈姜宏,卢志民,姚顺春..基于初始氨覆盖率寻优的燃煤电站SCR脱硝系统机理建模[J].锅炉技术,2024,55(4):7-12,6.基金项目
国家重点研发计划政府间国际科技创新合作项目(2019YFE0109700) （2019YFE0109700）
广东省自然科学基金-杰出青年项目(2021B1515020071) （2021B1515020071）
广东省省级科技计划项目(2020A0505140001) （2020A0505140001）
佛山市科技创新项目(1920001000052) （1920001000052）
