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Development of a first-principles hybrid model for large-scale reheating furnaces

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  • Hu, Yukun
  • Tan, CK
  • Broughton, Jonathan
  • Roach, Paul Alun

Abstract

This paper details the development of a first-principles hybrid model capable of simulating transient thermal performances of a large scale reheating furnace. In particular, the new modelling approach combines the advantages of the classical zone method of radiation analysis and Computational Fluid Dynamics (CFD) in a robust manner, and overcomes the difficulties of incorporating three-dimensional flow field within a zone method based model. The developed model has been validated with comprehensive experimental data collected during an instrumented bloom trial period that includes a long production delay. The results suggest that the model predictions were in good agreement with the actual measurements, and that the model was able to respond correctly with respect to the encountered production delay during the trial.

Suggested Citation

  • Hu, Yukun & Tan, CK & Broughton, Jonathan & Roach, Paul Alun, 2016. "Development of a first-principles hybrid model for large-scale reheating furnaces," Applied Energy, Elsevier, vol. 173(C), pages 555-566.
    • Handle: RePEc:eee:appene:v:173:y:2016:i:c:p:555-566
    DOI: 10.1016/j.apenergy.2016.04.011
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    References listed on IDEAS

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    1. Yin, Chungen & Yan, Jinyue, 2016. "Oxy-fuel combustion of pulverized fuels: Combustion fundamentals and modeling," Applied Energy, Elsevier, vol. 162(C), pages 742-762.
    2. Hu, Yukun & Li, Hailong & Yan, Jinyue, 2014. "Numerical investigation of heat transfer characteristics in utility boilers of oxy-coal combustion," Applied Energy, Elsevier, vol. 130(C), pages 543-551.
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    Cited by:

    1. Wu, Xiao M. & Qin, Zhen & Yu, Yun S. & Zhang, Zao X., 2018. "Experimental and numerical study on CO2 absorption mass transfer enhancement for a diameter-varying spray tower," Applied Energy, Elsevier, vol. 225(C), pages 367-379.
    2. Hajaliakbari, Nasrollah & Hassanpour, Saied, 2017. "Analysis of thermal energy performance in continuous annealing furnace," Applied Energy, Elsevier, vol. 206(C), pages 829-842.
    3. Hu, Yukun & Tan, CK & Niska, John & Chowdhury, Jahedul Islam & Balta-Ozkan, Nazmiye & Varga, Liz & Roach, Paul Alun & Wang, Chunsheng, 2019. "Modelling and simulation of steel reheating processes under oxy-fuel combustion conditions – Technical and environmental perspectives," Energy, Elsevier, vol. 185(C), pages 730-743.
    4. Chen, Demin & Lu, Biao & Dai, FangQin & Chen, Guang & Zhang, Xihe, 2018. "Bottleneck of slab thermal efficiency in reheating furnace based on energy apportionment model," Energy, Elsevier, vol. 150(C), pages 1058-1069.
    5. Hu, Yukun & Wang, Jihong & Tan, CK & Sun, Chenggong & Liu, Hao, 2018. "Coupling detailed radiation model with process simulation in Aspen Plus: A case study on fluidized bed combustor," Applied Energy, Elsevier, vol. 227(C), pages 168-179.
    6. 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.
    7. Bo Gao & Chunsheng Wang & Yukun Hu & C. K. Tan & Paul Alun Roach & Liz Varga, 2018. "Function Value-Based Multi-Objective Optimisation of Reheating Furnace Operations Using Hooke-Jeeves Algorithm," Energies, MDPI, vol. 11(9), pages 1-18, September.

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