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Global reaction mechanisms for MILD oxy-combustion of methane

Author

Listed:
  • Hu, Fan
  • Li, Pengfei
  • Guo, Junjun
  • Liu, Zhaohui
  • Wang, Lin
  • Mi, Jianchun
  • Dally, Bassam
  • Zheng, Chuguang

Abstract

This paper optimizes global reaction mechanisms under the MILD (Moderate and Intensive Low-oxygen Dilution) oxy-combustion combustion. Seven global mechanisms are compared and validated with two detailed mechanisms under the oxy-fuel combustion, MILD air-combustion, and MILD oxy-combustion conditions. The ability of these global models to capture the combustion process under different conditions is compared first using computational fluid dynamics (CFD) simulations of both the MILD oxy-combustion in a laboratory-scale furnace and non-premixed turbulent jet open flames, and later using a plug flow reactor (PFR) approach. Experiments of the MILD oxy-combustion are also carried out for the mechanism validation. The detailed comparison shows that the present optimized global mechanism significantly improves the prediction of temperatures, equilibrium concentrations of major species, and the peak CO concentration, relative to other global mechanisms, for the MILD oxy-combustion. The present refined mechanism is an appropriate global reaction mechanism for methane MILD oxy-combustion, if the computational cost of detailed reaction mechanism is unaffordable.

Suggested Citation

  • Hu, Fan & Li, Pengfei & Guo, Junjun & Liu, Zhaohui & Wang, Lin & Mi, Jianchun & Dally, Bassam & Zheng, Chuguang, 2018. "Global reaction mechanisms for MILD oxy-combustion of methane," Energy, Elsevier, vol. 147(C), pages 839-857.
  • Handle: RePEc:eee:energy:v:147:y:2018:i:c:p:839-857
    DOI: 10.1016/j.energy.2018.01.089
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    References listed on IDEAS

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    1. Mardani, A. & Fazlollahi Ghomshi, A., 2016. "Numerical study of oxy-fuel MILD (moderate or intense low-oxygen dilution combustion) combustion for CH4–H2 fuel," Energy, Elsevier, vol. 99(C), pages 136-151.
    2. Wang, Feifei & Li, Pengfei & Mei, Zhenfeng & Zhang, Jianpeng & Mi, Jianchun, 2014. "Combustion of CH4/O2/N2 in a well stirred reactor," Energy, Elsevier, vol. 72(C), pages 242-253.
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    Cited by:

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    3. Hu, Fan & Xiong, Biao & Liu, Xuhui & Huang, Xiaohong & Li, Yu & Liu, Zhaohui, 2023. "Optimized TGA-based experimental method for studying intrinsic kinetics of coal char oxidation under moderate or intense low-oxygen dilution oxy-fuel conditions," Energy, Elsevier, vol. 265(C).
    4. Wang, Xuebin & Zhang, Jiaye & Xu, Xinwei & Mikulčić, Hrvoje & Li, Yan & Zhou, Yuegui & Tan, Houzhang, 2020. "Numerical study of biomass Co-firing under Oxy-MILD mode," Renewable Energy, Elsevier, vol. 146(C), pages 2566-2576.
    5. Si, Jicang & Wang, Guochang & Li, Pengfei & Mi, Jianchun, 2021. "A new skeletal mechanism for simulating MILD combustion optimized using Artificial Neural Network," Energy, Elsevier, vol. 237(C).
    6. Bao, Yu & Yu, Qingbo & Xie, Huaqing & Qin, Qin & Zhao, Yu, 2023. "Effect of H2 and CO in syngas on oxy-MILD combustion," Applied Energy, Elsevier, vol. 352(C).
    7. 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).
    8. Tian, Ye & Zhou, Xiong & Ji, Xuanyu & Bai, Jisong & Yuan, Liang, 2019. "Applying moderate or intense low-oxygen dilution combustion to a co-axial-jet I-shaped recuperative radiant tube for further performance enhancement," Energy, Elsevier, vol. 171(C), pages 149-160.
    9. Jozaalizadeh, Toomaj & Toghraie, Davood, 2019. "Numerical investigation behavior of reacting flow for flameless oxidation technology of MILD combustion: Effect of fluctuating temperature of inlet co-flow," Energy, Elsevier, vol. 178(C), pages 530-537.
    10. Luo, Zhenmin & Li, Dafang & Su, Bin & Zhang, Siqi & Deng, Jun, 2020. "On the time coupling analysis of explosion pressure and intermediate generation for multiple flammable gases," Energy, Elsevier, vol. 198(C).
    11. Guo, Junjun & Liu, Zhaohui & Hu, Fan & Li, Pengfei & Luo, Wei & Huang, Xiaohong, 2018. "A compatible configuration strategy for burner streams in a 200 MWe tangentially fired oxy-fuel combustion boiler," Applied Energy, Elsevier, vol. 220(C), pages 59-69.

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