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CFD simulation and optimization of industrial boiler

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  • Echi, Souhir
  • Bouabidi, Abdallah
  • Driss, Zied
  • Abid, Mohamed Salah

Abstract

This paper aimed to develop a computational fluid dynamics simulation for an industrial boiler. The industrial boiler is used for the sulfuric acid production. A numerical model is carried out using the commercial code “ANSYS-FLUENT”. The simulations are developed for the case of the industrial boiler and a new proposed design. A clear understanding of the combustion phenomenon and the fluid flow within the boiler is provided from the simulations. The local characteristics of the fluid flow and the heat transfer such as the temperature; the velocity magnitude and the density distributions are presented and analyzed. The comparison between the numerical results and the experimental data is performed and a good agreement is found.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:169:y:2019:i:c:p:105-114
    DOI: 10.1016/j.energy.2018.12.006
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    References listed on IDEAS

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    1. Ahmadi, Gholamreza & Toghraie, Davood & Akbari, Omid Ali, 2017. "Solar parallel feed water heating repowering of a steam power plant: A case study in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 474-485.
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    Cited by:

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    2. 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.
    3. Xue, Wenyuan & Lu, Yichen & Wang, Zhi & Cao, Shengxian & Sui, Mengxuan & Yang, Yuan & Li, Jiyuan & Xie, Yubin, 2024. "Reconstructing near-water-wall temperature in coal-fired boilers using improved transfer learning and hidden layer configuration optimization," Energy, Elsevier, vol. 294(C).
    4. Darbandi, Masoud & Fatin, Ali & Bordbar, Hadi, 2020. "Numerical study on NOx reduction in a large-scale heavy fuel oil-fired boiler using suitable burner adjustments," Energy, Elsevier, vol. 199(C).
    5. Yang, Shiliang & Wang, Hua & Wei, Yonggang & Hu, Jianhang & Chew, Jia Wei, 2019. "Eulerian-Lagrangian simulation of air-steam biomass gasification in a three-dimensional bubbling fluidized gasifier," Energy, Elsevier, vol. 181(C), pages 1075-1093.
    6. Aminmahalati, Alireza & Fazlali, Alireza & Safikhani, Hamed, 2021. "Multi-objective optimization of CO boiler combustion chamber in the RFCC unit using NSGA II algorithm," Energy, Elsevier, vol. 221(C).
    7. Yee Van Fan & Zorka Novak Pintarič & Jiří Jaromír Klemeš, 2020. "Emerging Tools for Energy System Design Increasing Economic and Environmental Sustainability," Energies, MDPI, vol. 13(16), pages 1-25, August.
    8. Jun Liu & Yuyan Zhou & Lihua Chen & Lichuan Wang, 2023. "Assessing the Impact of Climate Change on Water Usage in Typical Industrial Enterprises," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    9. Horvat, Ivan & Dović, Damir & Filipović, Petar, 2021. "Numerical and experimental methods in development of the novel biomass combustion system concept for wood and agro pellets," Energy, Elsevier, vol. 231(C).
    10. Tang, Wei & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Shi, Junchao, 2021. "Constructal design for a boiler economizer," Energy, Elsevier, vol. 223(C).
    11. 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).
    12. 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).

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