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Prediction of the radiative heat transfer in small and large scale oxy-coal furnaces

Author

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  • Yang, Xin
  • Clements, Alastair
  • Szuhánszki, János
  • Huang, Xiaohong
  • Farias Moguel, Oscar
  • Li, Jia
  • Gibbins, Jon
  • Liu, Zhaohui
  • Zheng, Chuguang
  • Ingham, Derek
  • Ma, Lin
  • Nimmo, Bill
  • Pourkashanian, Mohamed

Abstract

Predicting thermal radiation for oxy-coal combustion highlights the importance of the radiation models for the spectral properties of gases and particles. This study numerically investigates radiation behaviours in small and large scale furnaces through refined radiative property models, using the full-spectrum correlated k (FSCK) model and Mie theory based data, compared with the conventional use of the weighted sum of grey gases (WSGG) model and the constant values of the particle radiation properties. Both oxy-coal combustion and air-fired combustion have been investigated numerically and compared with combustion plant experimental data. Reasonable agreements are obtained between the predicted results and the measured data. Employing the refined radiative property models achieves closer predicted heat transfer properties to the measured data from both furnaces. The gas-phase component of the radiation energy source term obtained from the FSCK property model is higher within the flame region than the values obtained by using the conventional methods. The impact of using non-grey radiation behaviour of gases through the FSCK is enhanced in the large scale furnace as the predicted gas radiation source term is approximately 2–3 times that obtained when using the WSGG, while the same term is in much closer agreement between the FSCK and the WSGG for the pilot-scale furnace. The predicted total radiation source term (from both gases and particles) is lower in the flame region after using the refined models, which results in a hotter flame (approximately 50–150 K higher in this study) compared with results obtained from conventional methods. In addition, the predicted surface incident radiation reduces by using the refined radiative property models for both furnaces, in which the difference is relevant with the difference in the predicted radiation properties between the two modelling techniques. Numerical uncertainties resulting from the influences of combustion model, turbulent particle dispersion and turbulence modelling on the radiation behaviours are discussed.

Suggested Citation

  • Yang, Xin & Clements, Alastair & Szuhánszki, János & Huang, Xiaohong & Farias Moguel, Oscar & Li, Jia & Gibbins, Jon & Liu, Zhaohui & Zheng, Chuguang & Ingham, Derek & Ma, Lin & Nimmo, Bill & Pourkash, 2018. "Prediction of the radiative heat transfer in small and large scale oxy-coal furnaces," Applied Energy, Elsevier, vol. 211(C), pages 523-537.
  • Handle: RePEc:eee:appene:v:211:y:2018:i:c:p:523-537
    DOI: 10.1016/j.apenergy.2017.11.070
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    References listed on IDEAS

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    2. Álvarez, L. & Yin, C. & Riaza, J. & Pevida, C. & Pis, J.J. & Rubiera, F., 2013. "Oxy-coal combustion in an entrained flow reactor: Application of specific char and volatile combustion and radiation models for oxy-firing conditions," Energy, Elsevier, vol. 62(C), pages 255-268.
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    Cited by:

    1. Mansir, Ibrahim B. & Ben-Mansour, Rached & Habib, Mohamed A., 2018. "Oxy-fuel combustion in a two-pass oxygen transport reactor for fire tube boiler application," Applied Energy, Elsevier, vol. 229(C), pages 828-840.
    2. Bordbar, Hadi & Maximov, Alexander & Hyppänen, Timo, 2019. "Improved banded method for spectral thermal radiation in participating media with spectrally dependent wall emittance," Applied Energy, Elsevier, vol. 235(C), pages 1090-1105.
    3. Brenda Raho & Gianpiero Colangelo & Marco Milanese & Arturo de Risi, 2022. "A Critical Analysis of the Oxy-Combustion Process: From Mathematical Models to Combustion Product Analysis," Energies, MDPI, vol. 15(18), pages 1-25, September.
    4. Laubscher, Ryno & Rousseau, Pieter, 2020. "Numerical investigation on the impact of variable particle radiation properties on the heat transfer in high ash pulverized coal boiler through co-simulation," Energy, Elsevier, vol. 195(C).
    5. Landfahrer, M. & Schluckner, C. & Prieler, R. & Gerhardter, H. & Zmek, T. & Klarner, J. & Hochenauer, C., 2019. "Development and application of a numerically efficient model describing a rotary hearth furnace using CFD," Energy, Elsevier, vol. 180(C), pages 79-89.
    6. 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.
    7. Wienchol, Paulina & Szlęk, Andrzej & Ditaranto, Mario, 2020. "Waste-to-energy technology integrated with carbon capture – Challenges and opportunities," Energy, Elsevier, vol. 198(C).
    8. Gaber, Christian & Schluckner, Christoph & Wachter, Philipp & Demuth, Martin & Hochenauer, Christoph, 2021. "Experimental study on the influence of the nitrogen concentration in the oxidizer on NOx and CO emissions during the oxy-fuel combustion of natural gas," Energy, Elsevier, vol. 214(C).

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