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城市生活垃圾与煤流化床混烧过程中氮氧化物排放研究
引用本文:董长青,金保升,兰计香,仲兆平.城市生活垃圾与煤流化床混烧过程中氮氧化物排放研究[J].环境科学学报,2002,22(2):183-187.
作者姓名:董长青  金保升  兰计香  仲兆平
作者单位:东南大学洁净煤发电及燃烧技术教育部重点实验室,南京,210096
基金项目:国家教育部重点实验室基金,国家教育部科学技术研究重点项目,高等学校重点实验室访问学者基金,国家教育部《跨世纪优秀人才计划》基金,江苏省“青蓝工程”基金
摘    要:针对我国城市生活垃圾热值低等特性。在流化装置上进行了城市生活垃圾与煤混燃实验,研究了在混燃过程中城市生活垃圾与煤掺烧比例及床层温度变化对NO和N2O排放浓度的影响。实验结果显示,随掺烧垃圾量逐渐增加时,NO排放浓度降低。而N2O排放浓度先降低然后增加,当城市生活垃圾与煤掺烧比例恒定时,随床温的增加NO排放浓度增加,N2O排放浓度呈下降趋势,采用前向式神经网络,以掺烧比和床温作为输入参数,对NO的排放进行预测。结果显示精度较高。

关 键 词:氮氧化物  排放研究  城市生活垃圾  流化床  混烧  神经网络  大气监测  大气污染  废气排放
文章编号:0253-2468(2002)-02-0183-05
收稿时间:2001/4/24 0:00:00
修稿时间:2001年4月24日

NO and N2O emissions from co-combustion of municipal solid wastes and coal in a BFB
DONG Changqing,JIN Baosheng,LAN Jixiang and ZHONG Zhaoping.NO and N2O emissions from co-combustion of municipal solid wastes and coal in a BFB[J].Acta Scientiae Circumstantiae,2002,22(2):183-187.
Authors:DONG Changqing  JIN Baosheng  LAN Jixiang and ZHONG Zhaoping
Institution:The Key Laboratory of Clean Coal Power Generation and Combustion Technology of Ministry of Education, Southeast University, Nanjing 210096,The Key Laboratory of Clean Coal Power Generation and Combustion Technology of Ministry of Education, Southeast University, Nanjing 210096,The Key Laboratory of Clean Coal Power Generation and Combustion Technology of Ministry of Education, Southeast University, Nanjing 210096 and The Key Laboratory of Clean Coal Power Generation and Combustion Technology of Ministry of Education, Southeast University, Nanjing 210096
Abstract:Fluidized bed MSW combustion provides an attractive disposal method for its high combustion efficiency, low pollution emission and good fuel adoptability. According to the characteristics of municipal solid wastes (MSW) in China, the co combustion tests of MSW and coal were performed in a 0 2MWth bubbling fluidized bed (BFB) and the emission of NO and N 2O were studied.The influences of the ratio of MSW to coal and bed temperature on the emission of NO and N 2O were focused in this paper. Experimental research showed that the NO and N 2O emissions decreased rapidly when MSW were fed into the BFB. With the mixing ratio of MSW to coal increasing, the N 2O emissions increased slowly. It was supposed to be the combustion of volatile product that surrounded the small MSW particles. So the diffusion of oxygen to the surface of carbon was suppressed and the reduction reactions were promoted which caused the increasing of nitrous oxide. If the mixing ratio was invariable, NO emission increased and N 2O emission decreased with the temperature increasing. A feed forward neural network was proposed to predict the NO emission.
Keywords:municipal solid wastes  fluidized bed  co  combustion  nitric oxide  nitrous oxide  neural network
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