Effects of Premixed Gas Components on NOx Pathways Based on Chemical Reactor Network Model

被引:0
|
作者
Cao, Zhi-Bo [1 ]
Xiao, Yin-Li [1 ]
Song, Wen-Yan [1 ]
机构
[1] School of Power and Energy, Northwestern Polytechnical University, Xi'an,710072, China
来源
关键词
High pressure effects - Mixtures - Combustion chambers - Computational fluid dynamics - Nitrogen oxides;
D O I
10.13675/j.cnki.tjjs.200519
中图分类号
学科分类号
摘要
To investigate the effects of premix gas components on NOx generation under different pathways, four chemical reactor network models, namely single PSR(Perfectly-stirred reactor), 2PSR, 3PSR and PSR+PFR, were constructed and optimized based on the characteristics of CFD flow field in high-pressure jet stirred reactor. Under the condition of lean premix combustion, the NOx generation of pure CH4 and its mixture in different pathways were studied, and the NOx generation of each pathway in different reaction areas in the combustion chamber was obtained. The results show that NOx produced by pure CH4 combustion mainly comes from three pathways: thermal NOx, prompt NOx and N2O-intermediate NOx. It is found that thermal and N2O-intermediate NOx emission increase with the increase of adiabatic flame temperature. With the addition of H2 in CH4 or CO, the total NOx emission decreases and the rate of prompt NOx decreases, especially in the flame brush area. In addition, NOx emission increases with the CO mole fraction increasing in the CH4/CO mixture. © 2022, Editorial Department of Journal of Propulsion Technology. All right reserved.
引用
收藏
相关论文
共 50 条
  • [1] NUMERICAL INVESTIGATION OF NOx EMISSIONS CHARACTERISTICS OF A NATURAL GAS PREMIXED BURNER BASED ON CHEMICAL REACTOR NETWORK MODEL
    Mui, Bin
    Lei, Fulin
    Shao, Weiwei
    Liu, Xunwei
    Zhang, Zhedian
    Xiao, Yunhan
    [J]. PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, 2019, VOL 4B, 2019,
  • [2] Prediction of NOx and CO Emissions from an Industrial Lean-Premixed Gas Turbine Combustor Using a Chemical Reactor Network Model
    Park, Jungkyu
    Truc Huu Nguyen
    Joung, Daero
    Huh, Kang Yul
    Lee, Min Chul
    [J]. ENERGY & FUELS, 2013, 27 (03) : 1643 - 1651
  • [3] A reactor network model for predicting NOx emissions in gas turbines
    Fichet, Vincent
    Kanniche, Mohamed
    Plion, Pierre
    Gicquel, Olivier
    [J]. FUEL, 2010, 89 (09) : 2202 - 2210
  • [4] Investigation on NOx Emission Characteristics of Gas Turbine Combustor Based on Chemical Reactor Network Method
    Geng, Junjie
    Tian, Yuan
    Sun, Yifan
    Qi, Haiying
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2023, 43 (12): : 4657 - 4668
  • [5] Coupling CFD with chemical reactor network for advanced NOx prediction in gas turbine
    Kanniche, Mohamed
    [J]. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2010, 12 (06) : 661 - 670
  • [6] Coupling CFD with chemical reactor network for advanced NOx prediction in gas turbine
    Mohamed Kanniche
    [J]. Clean Technologies and Environmental Policy, 2010, 12 : 661 - 670
  • [7] MODELLING THE EFFECT OF EXTERNAL FLUE GAS RECIRCULATION ON NOX AND CO EMISSIONS IN A PREMIXED GAS TURBINE COMBUSTOR WITH CHEMICAL REACTOR NETWORKS
    Prakash, V.
    Steimes, J.
    Roekaerts, D. J. E. M.
    Klein, S. A.
    [J]. PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, 2018, VOL 4B, 2018,
  • [8] A reactor network model for predicting NOx emissions in an industrial natural gas burner
    De Toni, Amir
    Hayashi, Thamy
    Schneider, Paulo
    [J]. JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2013, 35 (03) : 199 - 206
  • [9] A reactor network model for predicting NOx emissions in an industrial natural gas burner
    Amir De Toni
    Thamy Hayashi
    Paulo Schneider
    [J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2013, 35 : 199 - 206
  • [10] Modeling and uncertainty analysis of chemical reactor network model in lean premixed combustion chamber
    Mu, Bin
    Lei, Fulin
    Shao, Weiwei
    Zhang, Zhedian
    Xiao, Yunhan
    [J]. Hangkong Dongli Xuebao/Journal of Aerospace Power, 2019, 34 (10): : 2108 - 2119