IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v155y2018icp474-483.html
   My bibliography  Save this article

Prevention of boiler performance degradation under large primary air ratio scenario in a 660 MW brown coal boiler

Author

Listed:
  • Li, Zixiang
  • Miao, Zhengqing
  • Shen, Xusheng
  • Li, Jiangtao

Abstract

To study how to prevent the boiler performance degradation under large primary air ratio (PAR) condition, a three dimensional computational fluid dynamics model was established on the basis of a 660 MW wall-fired brown coal boiler. Accuracy of simulation models was established by carrying out a mesh independence test and a comparison with real-life data. Then it was used to investigate the effects of proposed measures on boiler performance. The distribution profiles of combustion temperature, heat flux, CO mass fraction and unburnt char particles were selected to analyze the boiler performance under different cases. Results show that boiler performance deteriorates evidently when PAR is increased to 0.425, and the overall heat flux decreases by 37.0 MW. The three proposed measures can indeed improve the boiler performance that has been deteriorated when PAR is increased, and the overall heat flux was increased by 6.42 MW, 6.59 MW and 15.53 MW respectively. Among the proposed measures, the method of closing part of secondary air nozzles is recommended in regular boiler operation, due to its operability and convenience. The findings of this research and recommended measures can be used as guidelines in the actual operation in brown coal power plant.

Suggested Citation

  • Li, Zixiang & Miao, Zhengqing & Shen, Xusheng & Li, Jiangtao, 2018. "Prevention of boiler performance degradation under large primary air ratio scenario in a 660 MW brown coal boiler," Energy, Elsevier, vol. 155(C), pages 474-483.
  • Handle: RePEc:eee:energy:v:155:y:2018:i:c:p:474-483
    DOI: 10.1016/j.energy.2018.05.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218308272
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2018.05.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Han, Xiaoqu & Liu, Ming & Wu, Kaili & Chen, Weixiong & Xiao, Feng & Yan, Junjie, 2016. "Exergy analysis of the flue gas pre-dried lignite-fired power system based on the boiler with open pulverizing system," Energy, Elsevier, vol. 106(C), pages 285-300.
    2. Karampinis, E. & Nikolopoulos, N. & Nikolopoulos, A. & Grammelis, P. & Kakaras, E., 2012. "Numerical investigation Greek lignite/cardoon co-firing in a tangentially fired furnace," Applied Energy, Elsevier, vol. 97(C), pages 514-524.
    3. Liu, Ming & Yan, JunJie & Chong, DaoTong & Liu, JiPing & Wang, JinShi, 2013. "Thermodynamic analysis of pre-drying methods for pre-dried lignite-fired power plant," Energy, Elsevier, vol. 49(C), pages 107-118.
    4. Taseska, V. & Markovska, N. & Causevski, A. & Bosevski, T. & Pop-Jordanov, J., 2011. "Greenhouse gases (GHG) emissions reduction in a power system predominantly based on lignite," Energy, Elsevier, vol. 36(4), pages 2266-2270.
    5. Zeng, De-Liang & Hu, Yong & Gao, Shan & Liu, Ji-Zhen, 2015. "Modelling and control of pulverizing system considering coal moisture," Energy, Elsevier, vol. 80(C), pages 55-63.
    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. Heydar Maddah & Milad Sadeghzadeh & Mohammad Hossein Ahmadi & Ravinder Kumar & Shahaboddin Shamshirband, 2019. "Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM)," Mathematics, MDPI, vol. 7(7), pages 1-17, July.
    2. Zeng, Guang & Xu, Mingchen & Tu, Yaojie & Li, Zhenwei & Cai, Yongtie & Zheng, Zhimin & Tay, Kunlin & Yang, Wenming, 2020. "Influences of initial coal concentration on ignition behaviors of low-NOx bias combustion technology," Applied Energy, Elsevier, vol. 278(C).
    3. Ma, Dafu & Zhang, Shouyu & He, Xiang & Zhang, Jian & Ding, Xian, 2023. "Combustion stability and NOX emission characteristics of a 300 MWe tangentially fired boiler under ultra-low loads with deep-air staging," Energy, Elsevier, vol. 269(C).
    4. Zima, Wiesław & Taler, Jan & Grądziel, Sławomir & Trojan, Marcin & Cebula, Artur & Ocłoń, Paweł & Dzierwa, Piotr & Taler, Dawid & Rerak, Monika & Majdak, Marek & Korzeń, Anna & Skrzyniowska, Dorota, 2022. "Thermal calculations of a natural circulation power boiler operating under a wide range of loads," Energy, Elsevier, vol. 261(PB).
    5. 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.
    6. Li, Zixiang & Qiao, Xinqi & Miao, Zhengqing, 2021. "A novel burner arrangement scheme with annularly combined multiple airflows for wall-tangentially fired pulverized coal boiler," Energy, Elsevier, vol. 222(C).
    7. Wang, Yanhong & Zou, Zhihong & Lu, Ke & Li, Qi & Hu, Pengfei & Wang, Di, 2024. "Modeling for on-line monitoring of carbon burnout coefficient in boiler under partial load," Energy, Elsevier, vol. 288(C).

    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. Li, Zixiang & Miao, Zhengqing & Zhou, Yan & Wen, Shurong & Li, Jiangtao, 2018. "Influence of increased primary air ratio on boiler performance in a 660 MW brown coal boiler," Energy, Elsevier, vol. 152(C), pages 804-817.
    2. 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.
    3. Chantasiriwan, Somchart, 2021. "Optimum installation of flue gas dryer and additional air heater to increase the efficiency of coal-fired utility boiler," Energy, Elsevier, vol. 221(C).
    4. Li, Zixiang & Miao, Zhengqing, 2019. "Primary air ratio affects coal utilization mode and NOx emission in lignite pulverized boiler," Energy, Elsevier, vol. 187(C).
    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. Tabet, F. & Gökalp, I., 2015. "Review on CFD based models for co-firing coal and biomass," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1101-1114.
    7. Modliński, Norbert & Madejski, Pawel & Janda, Tomasz & Szczepanek, Krzysztof & Kordylewski, Wlodzimierz, 2015. "A validation of computational fluid dynamics temperature distribution prediction in a pulverized coal boiler with acoustic temperature measurement," Energy, Elsevier, vol. 92(P1), pages 77-86.
    8. Han, Yu & Sun, Yingying & Wu, Junjie, 2023. "A novel solar-driven waste heat recovery system in solar-fuel hybrid power plants," Energy, Elsevier, vol. 285(C).
    9. Andrea Aquino & Pietro Poesio, 2021. "Off-Design Exergy Analysis of Convective Drying Using a Two-Phase Multispecies Model," Energies, MDPI, vol. 14(1), pages 1-36, January.
    10. Dong, C. & Huang, G.H. & Cai, Y.P. & Liu, Y., 2012. "An inexact optimization modeling approach for supporting energy systems planning and air pollution mitigation in Beijing city," Energy, Elsevier, vol. 37(1), pages 673-688.
    11. Han, Xiaoqu & Liu, Ming & Zhai, Mengxu & Chong, Daotong & Yan, Junjie & Xiao, Feng, 2015. "Investigation on the off-design performances of flue gas pre-dried lignite-fired power system integrated with waste heat recovery at variable external working conditions," Energy, Elsevier, vol. 90(P2), pages 1743-1758.
    12. Foley, A.M. & Leahy, P.G. & Li, K. & McKeogh, E.J. & Morrison, A.P., 2015. "A long-term analysis of pumped hydro storage to firm wind power," Applied Energy, Elsevier, vol. 137(C), pages 638-648.
    13. Liu, Ming & Wang, Shan & Yan, Junjie, 2021. "Operation scheduling of a coal-fired CHP station integrated with power-to-heat devices with detail CHP unit models by particle swarm optimization algorithm," Energy, Elsevier, vol. 214(C).
    14. Meng, Ming & Niu, Dongxiao & Shang, Wei, 2014. "A small-sample hybrid model for forecasting energy-related CO2 emissions," Energy, Elsevier, vol. 64(C), pages 673-677.
    15. Oladejo, Jumoke M. & Adegbite, Stephen & Pang, Cheng Heng & Liu, Hao & Parvez, Ashak M. & Wu, Tao, 2017. "A novel index for the study of synergistic effects during the co-processing of coal and biomass," Applied Energy, Elsevier, vol. 188(C), pages 215-225.
    16. Li, Zixiang & Qiao, Xinqi & Miao, Zhengqing, 2021. "A novel burner arrangement scheme with annularly combined multiple airflows for wall-tangentially fired pulverized coal boiler," Energy, Elsevier, vol. 222(C).
    17. Kamran Kheiralipour & Nazafarin Sheikhi, 2021. "Material and energy flow in different bread baking types," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10512-10527, July.
    18. Taseska, Verica & Markovska, Natasa & Callaway, John M., 2012. "Evaluation of climate change impacts on energy demand," Energy, Elsevier, vol. 48(1), pages 88-95.
    19. Ćosić, Boris & Krajačić, Goran & Duić, Neven, 2012. "A 100% renewable energy system in the year 2050: The case of Macedonia," Energy, Elsevier, vol. 48(1), pages 80-87.
    20. Xiufan Liang & Yiguo Li & Xiao Wu & Jiong Shen, 2018. "Nonlinear Modeling and Inferential Multi-Model Predictive Control of a Pulverizing System in a Coal-Fired Power Plant Based on Moving Horizon Estimation," Energies, MDPI, vol. 11(3), pages 1-27, March.

    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:eee:energy:v:155:y:2018:i:c:p:474-483. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.