IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2022i1p262-d1015815.html
   My bibliography  Save this article

Study on Combustion Characteristics and NOx Formation in 600 MW Coal-Fired Boiler Based on Numerical Simulation

Author

Listed:
  • Bo Zhu

    (Huanggang Dabieshan Power Generation Co., Ltd., Macheng 438300, China)

  • Bichen Shang

    (School of Energy and Environment, Southeast University, Nanjing 210096, China)

  • Xiao Guo

    (Huanggang Dabieshan Power Generation Co., Ltd., Macheng 438300, China)

  • Chao Wu

    (Huanggang Dabieshan Power Generation Co., Ltd., Macheng 438300, China)

  • Xiaoqiang Chen

    (Zhongdian Huachuang Electric Power Technology Research Co., Ltd., Suzhou 215124, China)

  • Lingling Zhao

    (School of Energy and Environment, Southeast University, Nanjing 210096, China)

Abstract

The variations in the boiler operation conditions have a great effect on the combustion characteristics and the pollutant formation in furnaces. This work aims to investigate the effects of operational parameters on NOx formation and its distribution in furnaces using the numerical simulation method to obtain the optimum control strategy for reducing NOx emissions. The numerical simulation models of pulverized coal combustion in furnaces involving flow, heat transfer, combustion and NOx formation are established. Taking a 600 MW supercritical opposed firing pulverized coal boiler as the study object, a full-scale three-dimensional physical model of the boiler is constructed with Gambit software. On this basis, the pulverized coal combustion and the NOx formation under various boiler loads are numerically simulated using the software of Ansys Fluent 2021R1, and the accuracy and the reliability of the models established are verified by comparing the simulation data with the field test data. According to the combustion numerical simulation of 128 groups of operating conditions, the effects of boiler load, the air rate and the air temperature on combustion and NOx formation have been emphatically investigated. The simulation results indicate that the formation of NOx and the NOx concentration distribution are mainly affected by the oxygen concentration and the temperature in the furnace. Especially, the effects of the variation in the excess air coefficient, the over-fire air (OFA) ratio, the primary air ratio and the internal secondary air ratio on NOx concentration distribution vary greatly. When the air temperature increases the overall NOx concentration in the furnace increases, and the influence of the secondary air temperature and the OFA temperature is greater than that of the primary air temperature. Large amounts of simulation data are a necessary data source for further study on the NOx prediction model at the economizer outlet, which can improve the prediction ability and the generalization ability of the NOx prediction model.

Suggested Citation

  • Bo Zhu & Bichen Shang & Xiao Guo & Chao Wu & Xiaoqiang Chen & Lingling Zhao, 2022. "Study on Combustion Characteristics and NOx Formation in 600 MW Coal-Fired Boiler Based on Numerical Simulation," Energies, MDPI, vol. 16(1), pages 1-30, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:262-:d:1015815
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/1/262/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/1/262/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lamioni, Rachele & Bronzoni, Cristiana & Folli, Marco & Tognotti, Leonardo & Galletti, Chiara, 2022. "Feeding H2-admixtures to domestic condensing boilers: Numerical simulations of combustion and pollutant formation in multi-hole burners," Applied Energy, Elsevier, vol. 309(C).
    2. Shameer, P. Mohamed & Ramesh, K., 2017. "Experimental evaluation on performance, combustion behavior and influence of in-cylinder temperature on NOx emission in a D.I diesel engine using thermal imager for various alternate fuel blends," Energy, Elsevier, vol. 118(C), pages 1334-1344.
    3. Li, Zixiang & Miao, Zhengqing & Shen, Xusheng & Li, Jiangtao, 2018. "Effects of momentum ratio and velocity difference on combustion performance in lignite-fired pulverized boiler," Energy, Elsevier, vol. 165(PA), pages 825-839.
    4. Shi, Yan & Zhong, Wenqi & Chen, Xi & Yu, A.B. & Li, Jie, 2019. "Combustion optimization of ultra supercritical boiler based on artificial intelligence," Energy, Elsevier, vol. 170(C), pages 804-817.
    5. Li, Jun & Brzdekiewicz, Artur & Yang, Weihong & Blasiak, Wlodzimierz, 2012. "Co-firing based on biomass torrefaction in a pulverized coal boiler with aim of 100% fuel switching," Applied Energy, Elsevier, vol. 99(C), pages 344-354.
    6. Ma, Lun & Fang, Qingyan & Yin, Chungen & Wang, Huajian & Zhang, Cheng & Chen, Gang, 2019. "A novel corner-fired boiler system of improved efficiency and coal flexibility and reduced NOx emissions," Applied Energy, Elsevier, vol. 238(C), pages 453-465.
    7. Zeinivand, Hamed & Bazdidi-Tehrani, Farzad, 2012. "Influence of stabilizer jets on combustion characteristics and NOx emission in a jet-stabilized combustor," Applied Energy, Elsevier, vol. 92(C), pages 348-360.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaoqiang Chen & Xinye Ji & Jinjin Feng & Lijun Heng & Lingling Zhao, 2023. "Laboratory Study on Adhesive Ash Deposition Characteristics of Ammonium Bisulfate in Conditions Simulating an Air Preheater for Hard Coal Combustion," Energies, MDPI, vol. 16(18), pages 1-17, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ti, Shuguang & Kuang, Min & Wang, Haopeng & Xu, Guangyin & Niu, Cong & Liu, Yannan & Wang, Zhenfeng, 2020. "Experimental combustion characteristics and NOx emissions at 50% of the full load for a 600-MWe utility boiler: Effects of the coal feed rate for various mills," Energy, Elsevier, vol. 196(C).
    2. Li, Zixiang & Qiao, Xinqi & Miao, Zhengqing, 2021. "Low load performance of tangentially-fired boiler with annularly combined multiple airflows," Energy, Elsevier, vol. 224(C).
    3. Yu Jiang & Kyeong-Hoon Park & Chung-Hwan Jeon, 2020. "Feasibility Study of Co-Firing of Torrefied Empty Fruit Bunch and Coal through Boiler Simulation," Energies, MDPI, vol. 13(12), pages 1-27, June.
    4. Mollo, Malebo & Kolesnikov, Andrei & Makgato, Seshibe, 2022. "Simultaneous reduction of NOx emission and SOx emission aided by improved efficiency of a Once-Through Benson Type Coal Boiler," Energy, Elsevier, vol. 248(C).
    5. Jiang, Yu & Lee, Byoung-Hwa & Oh, Dong-Hun & Jeon, Chung-Hwan, 2022. "Influence of various air-staging on combustion and NOX emission characteristics in a tangentially fired boiler under the 50% load condition," Energy, Elsevier, vol. 244(PB).
    6. Lv, You & Lv, Xuguang & Fang, Fang & Yang, Tingting & Romero, Carlos E., 2020. "Adaptive selective catalytic reduction model development using typical operating data in coal-fired power plants," Energy, Elsevier, vol. 192(C).
    7. Lijun Sun & Miao Wang & Peian Chong & Yunhao Shao & Lei Deng, 2025. "Numerical Simulation of a 330 MW Tangentially Fired Boiler by a Model Coupling CFD and Hydrodynamic Calculation," Energies, MDPI, vol. 18(10), pages 1-19, May.
    8. Zhou, Dongdong & Cheng, Shusen, 2019. "Measurement study of the PCI process on the temperature distribution in raceway zone of blast furnace by using digital imaging techniques," Energy, Elsevier, vol. 174(C), pages 814-822.
    9. Simon Drost & Sven Eckart & Chunkan Yu & Robert Schießl & Hartmut Krause & Ulrich Maas, 2023. "Numerical and Experimental Investigations of CH 4 /H 2 Mixtures: Ignition Delay Times, Laminar Burning Velocity and Extinction Limits," Energies, MDPI, vol. 16(6), pages 1-17, March.
    10. Batidzirai, B. & Mignot, A.P.R. & Schakel, W.B. & Junginger, H.M. & Faaij, A.P.C., 2013. "Biomass torrefaction technology: Techno-economic status and future prospects," Energy, Elsevier, vol. 62(C), pages 196-214.
    11. Tran, Khanh-Quang & Luo, Xun & Seisenbaeva, Gulaim & Jirjis, Raida, 2013. "Stump torrefaction for bioenergy application," Applied Energy, Elsevier, vol. 112(C), pages 539-546.
    12. Li, Xinli & Wang, Yingnan & Zhu, Yun & Yang, Guotian & Liu, He, 2021. "Temperature prediction of combustion level of ultra-supercritical unit through data mining and modelling," Energy, Elsevier, vol. 231(C).
    13. Wu, Haiqian & Kuang, Min & Wang, Jialin & Zhao, Xiaojuan & Yang, Guohua & Ti, Shuguang & Ding, Jieyi, 2020. "Lower-arch location effect on the flow field, coal combustion, and NOx formation characteristics in a cascade-arch, down-fired furnace," Applied Energy, Elsevier, vol. 268(C).
    14. Zhou, Jing & Zhu, Meng & Su, Sheng & Chen, Lei & Xu, Jun & Hu, Song & Wang, Yi & Jiang, Long & Zhong, Wenqi & Xiang, Jun, 2020. "Numerical analysis and modified thermodynamic calculation methods for the furnace in the 1000 MW supercritical CO2 coal-fired boiler," Energy, Elsevier, vol. 212(C).
    15. Agar, David A. & Rudolfsson, Magnus & Lavergne, Simon & Melkior, Thierry & Da Silva Perez, Denilson & Dupont, Capucine & Campargue, Matthieu & Kalén, Gunnar & Larsson, Sylvia H., 2021. "Pelleting torrefied biomass at pilot-scale – Quality and implications for co-firing," Renewable Energy, Elsevier, vol. 178(C), pages 766-774.
    16. Yang, Bo & Wei, Yi-Ming & Hou, Yunbing & Li, Hui & Wang, Pengtao, 2019. "Life cycle environmental impact assessment of fuel mix-based biomass co-firing plants with CO2 capture and storage," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    17. Miedema, Jan H. & Benders, René M.J. & Moll, Henri C. & Pierie, Frank, 2017. "Renew, reduce or become more efficient? The climate contribution of biomass co-combustion in a coal-fired power plant," Applied Energy, Elsevier, vol. 187(C), pages 873-885.
    18. Erdoğan, Sinan & Balki, Mustafa Kemal & Aydın, Selman & Sayın, Cenk, 2020. "Performance, emission and combustion characteristic assessment of biodiesels derived from beef bone marrow in a diesel generator," Energy, Elsevier, vol. 207(C).
    19. Krishnamoorthi, M. & Malayalamurthi, R. & Sakthivel, R., 2019. "Optimization of compression ignition engine fueled with diesel - chaulmoogra oil - diethyl ether blend with engine parameters and exhaust gas recirculation," Renewable Energy, Elsevier, vol. 134(C), pages 579-602.
    20. Leonel J. R. Nunes & João C. O. Matias, 2020. "Biomass Torrefaction as a Key Driver for the Sustainable Development and Decarbonization of Energy Production," Sustainability, MDPI, vol. 12(3), pages 1-9, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:262-:d:1015815. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.