摘要
通过流化床反应器模拟水泥分解炉高CaO/CO_2环境,并结合分子动力学广义梯度密度泛函理论,研究了CaO对CO还原NO的催化特性和CO_2促使CaO催化失效规律。在900℃、体积分数15%CO_2下,CaO催化作用可使NO脱除效率提高18%左右。在900℃时,当CO_2体积分数由5%升至30%,CO对NO还原率由97.0%降低到23.4%,且随反应时间增长CaO对CO还原NO的催化作用不断减弱。基于广义梯度密度泛函理论计算,CO_2,CO,NO在CaO表面活性位点的吸附能依次为CO_2(-1.869 eV)>NO(-0.781 eV)>CO(-0.669 eV),随着CO_2体积分数升高或反应时间增长,吸附在CaO表面的CO和NO减少,高体积分数CO_2促使CaO催化作用失效。CO还原NO的反应势垒(10.84 eV)大于CaO表面CO还原NO反应势垒(2.06 eV),CaO易催化CO还原NO。
The reduction of nitric oxide by carbon monoxide catalyzed by calcium oxide and the failure patterns of catalytic activity caused by CO2 were investigated by means of an experiment in high CaO/CO2 environment operated by fluidized bed reactor,combined with density functional theory(DFT)calculations with the generalized gradient approximation.At 900℃,the efficiency of NO reduction was enhanced by 18%due to the catalytic effect of calcium oxide.NO reduction rate reduced to 23.4%from 97.0%when the volume fraction of CO2 increased from 5%to 30%.With the increase of reaction time,the catalytic effect of CaO on NO reduction by CO decreases.Based on the density functional theory(DFT)calculations with the generalized gradient approximation,the adsorption energy of CO2,CO and NO on the active sites of CaO surface decreases with the order of CO2(-1.869 eV)>NO(-0.781 eV)>CO(-0.669 eV).With the increase of CO2 volume fraction or reaction time,the amount of CO and NO adsorbed on CaO surface decreases.High volume fraction of CO2 contributes to the failure of CaO catalytic activity.The energy barrier(10.84 eV)of NO reduction by CO without CaO is higher than that(2.06 eV)of NO reduction by CO on CaO surface.It is easier for CaO to catalyze NO reduction by CO.
作者
杨建蒙
戎旭
李森
魏小林
YANG Jian-meng;RONG Xu;LI Sen;WEI Xiao-lin(School of Energy&Mechanical Engineering,North China Electric Power University,Baoding 071003,Hebei Province,China;State Key Laboratory of High-temperature Gas Dynamics,Institute of Mechanics, Chinese Academy of Sciences,Beijing 100190,China;School of Engineering and Science,University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《化学工程》
CAS
CSCD
北大核心
2019年第1期1-5,共5页
Chemical Engineering(China)
基金
国家重点研发计划(2016YFB0601503)