水泥分解炉高CaO/CO_2环境CO还原NO机制
Mechanism of NO reduction by CO in high CaO/CO_2 environment of cement precalciner
查看参考文献13篇
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文摘
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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。 |
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其他语种文摘
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The reduction of nitric oxide by carbon monoxide catalyzed by calcium oxide and the failure patterns of catalytic activity caused by CO_2 were investigated by means of an experiment in high CaO/CO_2 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 CO_2 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 CO_2,CO and NO on the active sites of CaO surface decreases with the order of CO_2(-1.869 eV)>NO(-0.781 eV)>CO(-0.669 eV). With the increase of CO_2 volume fraction or reaction time, the amount of CO and NO adsorbed on CaO surface decreases. High volume fraction of CO_2 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. |
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来源
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化学工程
,2019,47(1):1-5 【核心库】
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DOI
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10.3969/j.issn.1005-9954.2019.01.001
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关键词
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高CaO/CO_2环境
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CO
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NO还原
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密度泛函理论
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地址
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1.
(保定)华北电力大学能源动力与机械工程学院, 河北, 保定, 071003
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中国科学院力学研究所, 高温气体动力学国家重点实验室, 北京, 100190
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中国科学院大学工程科学学院, 北京, 100049
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1005-9954 |
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学科
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环境污染及其防治 |
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基金
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国家重点研发计划
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文献收藏号
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CSCD:6439944
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