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A physically based air proportioning methodology for optimized combustion in gas-fired boilers considering both heat release and NOx emissions

Author

Listed:
  • Xiao, Guolin
  • Gao, Xiaori
  • Lu, Wei
  • Liu, Xiaodong
  • Asghar, Aamer Bilal
  • Jiang, Liu
  • Jing, Wenlin

Abstract

Ensuring the reliable operation of industrial boilers with high production efficiency and low pollutant emissions remains a significant challenge due to the complex chemical and physical reactions that occur within the boiler system. To address this issue, the present research introduces a novel air proportioning methodology for optimized combustion in gas-fired boilers, incorporating real-world data, numerical-computational technologies, and a normalization method. Initially, an average discrepancy of 11.32% is observed between the airflow recorded by the sensors and the actual airflow in the gas-fired boiler. The optimum oxygen levels in the flue gas are determined by striking a trade-off between heat release and pollutant emissions. At loads of 35%, 55%, 75%, and 95%, the recommended oxygen levels under equal-weighted conditions are 3.62%, 3.75%, 3.82%, and 3.91%, respectively. Furthermore, this research also considers the oxygen levels when there are non-equal weightings between heat release and nitrogen oxide (NOx) emissions. At 55% load, the weighting between heat release and pollutant emissions shifts from 1:1 to 1:2, necessitating an increase in the oxygen concentration from 3.75% to 4.30%. The air proportioning methodology proposed in this study offers an efficient framework for optimizing combustion in gas-fired boilers.

Suggested Citation

  • Xiao, Guolin & Gao, Xiaori & Lu, Wei & Liu, Xiaodong & Asghar, Aamer Bilal & Jiang, Liu & Jing, Wenlin, 2023. "A physically based air proportioning methodology for optimized combustion in gas-fired boilers considering both heat release and NOx emissions," Applied Energy, Elsevier, vol. 350(C).
  • Handle: RePEc:eee:appene:v:350:y:2023:i:c:s0306261923011649
    DOI: 10.1016/j.apenergy.2023.121800
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    References listed on IDEAS

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    1. Lopez-Ruiz, G. & Alava, I. & Blanco, J.M., 2021. "Study on the feasibility of the micromix combustion principle in low NOx H2 burners for domestic and industrial boilers: A numerical approach," Energy, Elsevier, vol. 236(C).
    2. Mo, Qianci & Zhu, Xishan & Deng, Chenquan & Cen, Shuhai & Ye, Haibo & Wang, Chunqiang & Lu, Wei & Chen, Xiaojun & Lin, Xingsu, 2023. "Analysis on influencing factors and improvement of thermal efficiency of bagasse boilers based on performance test data," Energy, Elsevier, vol. 271(C).
    3. Jaworek, A. & Sobczyk, A.T. & Marchewicz, A. & Krupa, A. & Czech, T., 2021. "Particulate matter emission control from small residential boilers after biomass combustion. A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    4. Echi, Souhir & Bouabidi, Abdallah & Driss, Zied & Abid, Mohamed Salah, 2019. "CFD simulation and optimization of industrial boiler," Energy, Elsevier, vol. 169(C), pages 105-114.
    5. Yang, Zhiwei & Khatri, Dishant & Verma, Piyush & Li, Tianxiang & Adeosun, Adewale & Kumfer, Benjamin M. & Axelbaum, Richard L., 2021. "Experimental study and demonstration of pilot-scale, dry feed, oxy-coal combustion under pressure," Applied Energy, Elsevier, vol. 285(C).
    6. Tang, Zhenhao & Zhang, Zijun, 2019. "The multi-objective optimization of combustion system operations based on deep data-driven models," Energy, Elsevier, vol. 182(C), pages 37-47.
    7. Gómez, Henar Olmedo & Calleja, Miguel Castaños & Fernández, Luis Aldea & Kiedrzyńska, Aleksandra & Lewtak, Robert, 2019. "Application of the CFD simulation to the evaluation of natural gas replacement by syngas in burners of the ceramic sector," Energy, Elsevier, vol. 185(C), pages 15-27.
    8. Ren, Shoujun & Yang, Haolin & Wang, Xiaohan, 2021. "The oxygen-deficient combustion and its effect on the NOx emission in a localized stratified vortex-tube combustor," Energy, Elsevier, vol. 235(C).
    9. Adamczyk, Wojciech P. & Isaac, Benjamin & Parra-Alvarez, John & Smith, Sean T. & Harris, Derek & Thornock, Jeremy N. & Zhou, Minmin & Smith, Philip J. & Żmuda, Robert, 2018. "Application of LES-CFD for predicting pulverized-coal working conditions after installation of NOx control system," Energy, Elsevier, vol. 160(C), pages 693-709.
    10. Khristamto Aditya Wardana, Muhammad & Lim, Ocktaeck, 2022. "Investigation of ammonia homogenization and NOx reduction quantity by remodeling urea injector shapes in heavy-duty diesel engines," Applied Energy, Elsevier, vol. 323(C).
    11. Yudha Wiranegara, Raditya & Igie, Uyioghosa & Ghali, Pierre & Abudu, Kamal & Abbott, David & Hamilton, Richard, 2023. "Minimum environmental load extension through compressed air extraction: Numerical analysis of a dry low NOx combustor," Applied Energy, Elsevier, vol. 336(C).
    12. Tsoumalis, Georgios I. & Bampos, Zafeirios N. & Biskas, Pandelis N. & Keranidis, Stratos D. & Symeonidis, Polychronis A. & Voulgarakis, Dimitrios K., 2022. "A novel system for providing explicit demand response from domestic natural gas boilers," Applied Energy, Elsevier, vol. 317(C).
    13. Wang, Qingxiang & Chen, Zhichao & Wang, Liang & Zeng, Lingyan & Li, Zhengqi, 2018. "Application of eccentric-swirl-secondary-air combustion technology for high-efficiency and low-NOx performance on a large-scale down-fired boiler with swirl burners," Applied Energy, Elsevier, vol. 223(C), pages 358-368.
    14. Rahat, Alma A.M. & Wang, Chunlin & Everson, Richard M. & Fieldsend, Jonathan E., 2018. "Data-driven multi-objective optimisation of coal-fired boiler combustion systems," Applied Energy, Elsevier, vol. 229(C), pages 446-458.
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