A Chemical Reactor Network for Oxides of Nitrogen Emission Prediction in Gas Turbine Combustor

被引：8
|
作者：
Nguyen Thanh Hao [1 ]
机构：
[1] Ind Univ HoChiMinh City, Ho Chi Minh City, Vietnam
来源：
JOURNAL OF THERMAL SCIENCE | 2014年 / 23卷 / 03期
关键词：
Chemical Reactor Networks (CRN); Computational Fluid Dynamics (CFD); Perfectly Stirred Reactor (PSR); Plug Flow Reactor (PFR); Gas Turbine Combustor; Oxides of Nitrogen Emission (NOx); NOX;
D O I：
10.1007/s11630-014-0707-5
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
This study presents the use of a new chemical reactor network (CRN) model and non-uniform injectors to predict the NOx emission pollutant in gas turbine combustor. The CRN uses information from Computational Fluid Dynamics (CFD) combustion analysis with two injectors of CH4-air mixture. The injectors of CH4-air mixture have different lean equivalence ratio, and they control fuel flow to stabilize combustion and adjust combustor's equivalence ratio. Non-uniform injector is applied to improve the burning process of the turbine combustor. The results of the new CRN for NOx prediction in the gas turbine combustor show very good agreement with the experimental data from Korea Electric Power Research Institute.
引用
收藏
页码：279 / 284
页数：6
相关论文
共 50 条
  • [1] A Chemical Reactor Network for Oxides of Nitrogen Emission Prediction in Gas Turbine Combustor
    Nguyen Thanh Hao
    [J]. Journal of Thermal Science, 2014, 23 (03) : 279 - 284
  • [2] A chemical reactor network for oxides of nitrogen emission prediction in gas turbine combustor
    Nguyen Thanh Hao
    [J]. Journal of Thermal Science, 2014, 23 : 279 - 284
  • [3] Improved Chemical Reactor Network Application for Predicting the Emission of Nitrogen Oxides in a Lean Premixed Gas Turbine Combustor
    T. H. Nguyen
    [J]. Combustion, Explosion, and Shock Waves, 2019, 55 : 267 - 273
  • [4] Improved Chemical Reactor Network Application for Predicting the Emission of Nitrogen Oxides in a Lean Premixed Gas Turbine Combustor
    Nguyen, T. H.
    [J]. COMBUSTION EXPLOSION AND SHOCK WAVES, 2019, 55 (03) : 267 - 273
  • [5] Chemical reactor network approach for a gas turbine combustor
    Yang, Xiao-Long
    Cui, Yu-Feng
    Xu, Gang
    Huang, Wei-Guang
    [J]. Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics, 2009, 30 (09): : 1585 - 1588
  • [6] 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
  • [7] Prediction of Pollutant Emissions from Lean Premixed Gas Turbine Combustor Using Chemical Reactor Network
    Park, Jung-Kyu
    Truc Huu Nguyen
    Lee, Min-Chul
    Chung, Jae-Wha
    [J]. TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B, 2012, 36 (02) : 225 - 232
  • [8] A COUPLED FLOW AND CHEMICAL REACTOR NETWORK MODEL FOR PREDICTING GAS TURBINE COMBUSTOR PERFORMANCE
    Hataysal, Seyfettin Ertan
    Yozgatligil, Ahmet
    [J]. THERMAL SCIENCE, 2020, 24 (03): : 1977 - 1989
  • [9] DEVELOPMENT OF A REACTOR NETWORK MODEL FOR A PRACTICAL GAS TURBINE COMBUSTOR
    Gubbi, Srujan
    Sun, Wenting
    Choi, Nakjeong
    Park, Seik
    Park, Jungkeuk
    Lee, Sanghyup
    Harper, Jim
    Steele, Robert
    Noble, David
    [J]. PROCEEDINGS OF ASME TURBO EXPO 2024: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2024, VOL 3A, 2024,
  • [10] 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
12345