Reduction of NOX during incineration of municipal solid waste by a fundamental combustion technique

被引:0
|
作者
Goh, YR [1 ]
Zakaria, R [1 ]
Yang, YB [1 ]
Nasserzadeh, V [1 ]
Swithenbank, J [1 ]
机构
[1] Univ Sheffield, Waste Incinerat Ctr, Dept Chem & Proc Engn, Sheffield, S Yorkshire, England
来源
JOURNAL OF THE INSTITUTE OF ENERGY | 2003年 / 76卷 / 508期
关键词
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Traditional methods of minimising NOx emissions from thermal processes including incinerators have included post-combustion treatment technologies in the form of catalytic and non-catalytic ammonia or urea injection. These processes are effective in reducing nitrogen oxides but emit by-products which require further treatment and disposal. The major source of NOx from municipal waste incinerators is the nitrogen in the fuel due to the relatively lower flame temperatures. Computational fluid dynamics (CFD) simulations using FLUENT code conducted to simulate and predict gaseous flow patterns within full-scale incinerator plant showed that the thermal and prompt NOx is about 60 ppm at approximately 10% O-2 at the exit from the radiation shaft. The measured value on the plant was approximately 350 ppm at a similar O-2 level, confirming the significance of fuel NOx emitted from the bed. Further reduction of NOx emission from Municipal Solid Waste (MSW) incinerator plants can be achieved by optimising the grate combustion process. Detailed experiments with simulated waste were successfully carried out in a small-scale laboratory combustion rig. The results obtained from the tests demonstrated that up to 90% reduction in NOx emission from the burning bed of solid waste can be achieved by increasing the thickness of the char layer above the pyrolysis front where NOx is produced. Existing grates already achieve an undetermined fraction of this capability. This paper presents the work carried out in order to develop a cheap, reliable and most efficient strategy for the reduction of NOx emission at the source of formation in an incinerator.
引用
收藏
页码:72 / 79
页数:8
相关论文
共 50 条
  • [41] Variation in the Composition of Municipal Solid Waste Incineration Ash
    Valentim, Bruno
    Guedes, Alexandra
    Kuzniarska-Biernacka, Iwona
    Dias, Joana
    Predeanu, Georgeta
    MINERALS, 2024, 14 (11)
  • [42] Application of the recirculation of the smokes to reduce the Nox emissions during the incineration of municipal solid wastes (MSW)
    Rogaume, T
    Richard, F
    Jabouille, F
    COMBUSTION SCIENCE AND TECHNOLOGY IN ASIA-PACIFIC AREA: TODAY AND TOMORROW, 2003, : 361 - 364
  • [43] An efficient waste management system with municipal solid waste incineration plant
    Ozturk, Merve
    Dincer, Ibrahim
    GREENHOUSE GASES-SCIENCE AND TECHNOLOGY, 2020, 10 (04) : 855 - 864
  • [44] Effects of incineration conditions on dioxins from simulated municipal solid waste incineration
    Zhang K.-W.
    Liu X.
    Zhang H.-J.
    Gao X.-H.
    Lü X.-C.
    Zhang L.
    Wang S.
    Ranliao Huaxue Xuebao/Journal of Fuel Chemistry and Technology, 2021, 49 (11): : 1724 - 1732
  • [45] Study on combustion characteristics of municipal solid waste and primary air temperature effects in fixed bed incineration
    Sun, Rui
    Liang, Ligang
    Wu, Shaohua
    Guo, Qiang
    Dai, Kui
    Liu, Xiang
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2008, 29 (06): : 722 - 727
  • [46] Combustion Line Extreme Abnormal Flame Image Adversarial Generation for Municipal Solid Waste Incineration Processes
    Guo H.
    Tang J.
    Xia H.
    Qiao J.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2024, 44 (11): : 4376 - 4386
  • [47] Behaviour of mercury during Co-incineration of sewage sludge and municipal solid waste
    Sun, Yunan
    Chen, Guanyi
    Yan, Beibei
    Cheng, Zhanjun
    Ma, Wenchao
    JOURNAL OF CLEANER PRODUCTION, 2020, 253 (253)
  • [48] Reduction potential of GHG emissions from municipal solid waste incineration for power generation in Beijing
    Yao, Xilong
    Guo, Zhi
    Liu, Yang
    Li, Jiaoyan
    Feng, Wei
    Lei, Haitao
    Gao, Yantao
    JOURNAL OF CLEANER PRODUCTION, 2019, 241
  • [49] Modular stochastic configuration network based prediction model for NOx emissions in municipal solid waste incineration process
    Wang, Ranran
    Li, Fangyu
    Yan, Aijun
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 127
  • [50] NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes
    Meng, Xi
    Tang, Jian
    Qiao, Junfei
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (07) : 4622 - 4631