摘要
在模拟烟气管道喷射脱汞实验装置上进行了活性炭喷射脱汞实验,考察了活性炭粒径、停留时间、活性炭浓度对汞脱除的影响.针对活性炭喷射脱汞过程,建立了包含质量平衡、传质过程及活性炭表面等温吸附模型在内的活性炭喷射脱汞综合预测模型,对模型参数进行了敏感性分析.实验结果表明,增加活性炭的停留时间与浓度,减小活性炭的粒径均能增加活性炭脱汞率.仿真结果表明:建立的活性炭喷射脱汞预测模型能较好地预测活性炭的脱汞效率,预测值与实验结果较吻合;利用该预测模型可进行活性炭喷射脱汞过程机理分析.模型参数敏感性分析表明,活性炭浓度、粒径、吸附常数K、停留时间等均对脱汞效率有重要影响.
Experimental study on mercury removal by activated carbon injection into simulated flue gas was carried out.Factors affecting mercury removal efficiency were investigated,including parti-cle size,residence time,and activated carbon feeding rate.A comprehensive predictive model based on material balance equation,mass transfer model and surface isothermal adsorption model is estab-lished for predicting mercury removal efficiency by activated carbon injection.Sensitivity analysis of the model parameters is conducted.The experimental results show that increasing the residence time and the feeding rate of activated carbon or reducing the particle size are beneficial to the mercury re-moval.The simulation results indicate that the model is capable of forecasting the mercury removal efficiency and a good agreement between the calculated curves and the experimental data is obtained as well.So the predictive model can be used to provide assistance in analyzing mechanism for the process of the activated carbon injection.The sensitivity analyses show that the activated carbon feeding rate,particle size,adsorption constant K and residence time have dominant impacts on mer-cury removal.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第6期1258-1263,共6页
Journal of Southeast University：Natural Science Edition
基金
国家自然科学基金资助项目(51076030
51376046)
江苏省环保科研课题基金资助项目(201113)
江苏省产学研联合创新资金资助项目(BY2013073-10)
煤燃烧国家重点实验室开放基金资助项目(FSKLCC1002)
关键词
活性炭
喷射脱汞
预测模型
敏感性分析
activated carbon
injection demercuration
predictive model
sensitivity analysis
