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CFD Analysis of Regenerative Chambers for Energy Efficiency Improvement in Glass Production Plants

Author

Listed:
  • Davide Basso

    (DIME—Department of Mechanical, Energy, Logistics Engineering and Engineering Management, Polytechnic School, Genoa University, via Montallegro 1, Genoa 16145, Italy)

  • Carlo Cravero

    (DIME—Department of Mechanical, Energy, Logistics Engineering and Engineering Management, Polytechnic School, Genoa University, via Montallegro 1, Genoa 16145, Italy)

  • Andrea P. Reverberi

    (DCCI—Department of Chemistry and Industrial Chemistry, Genoa University, via Dodecaneso 31, Genoa 16146, Italy)

  • Bruno Fabiano

    (DICCA—Department of Civil, Chemical and Environmental Engineering, Polytechnic School, Genoa University, via Opera Pia 15, Genoa 16145, Italy)

Abstract

The overall efficiency of a regenerative chamber for a glass furnace mainly relies on the thermo-fluid dynamics of air and waste gas alternatively flowing through stacks of refractory bricks (checkers) determining the heat recovery. A numerical approach could effectively support the design strategies in order to achieve a deeper understanding of the current technology and hopefully suggest new perspectives of improvement. A computational fluid dynamics (CFD) scheme for the regenerator is proposed, where the real geometry of the solid phase is modelled as a porous solid phase exchanging heat with the gas stream. Satisfactory data fitting proved the reliability of the present approach, whose applications are proposed in the last section of this study, to confirm how such a CFD modelling could be helpful in improving the overall energy efficiency of the regeneration chamber.

Suggested Citation

  • Davide Basso & Carlo Cravero & Andrea P. Reverberi & Bruno Fabiano, 2015. "CFD Analysis of Regenerative Chambers for Energy Efficiency Improvement in Glass Production Plants," Energies, MDPI, vol. 8(8), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:8:p:8945-8961:d:54672
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    References listed on IDEAS

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    1. Emilio Palazzi & Fabio Currò & Bruno Fabiano, 2013. "Accidental Continuous Releases from Coal Processing in Semi-Confined Environment," Energies, MDPI, vol. 6(10), pages 1-20, September.
    2. Miguel A. Gómez & Miguel A. Álvarez Feijoo & Roberto Comesaña & Pablo Eguía & José L. Míguez & Jacobo Porteiro, 2012. "CFD Simulation of a Concrete Cubicle to Analyze the Thermal Effect of Phase Change Materials in Buildings," Energies, MDPI, vol. 5(7), pages 1-19, June.
    3. Yungang Wang & Heng Chen & Zhongya Chen & Haidong Ma & Qinxin Zhao, 2015. "Slagging and Fouling Characteristics of HRSG for Ferrosilicon Electric Furnaces," Energies, MDPI, vol. 8(2), pages 1-13, February.
    4. Sardeshpande, Vishal & Anthony, Renil & Gaitonde, U.N. & Banerjee, Rangan, 2011. "Performance analysis for glass furnace regenerator," Applied Energy, Elsevier, vol. 88(12), pages 4451-4458.
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    Cited by:

    1. El-Behery, Samy M. & Hussien, A.A. & Kotb, H. & El-Shafie, Mostafa, 2017. "Performance evaluation of industrial glass furnace regenerator," Energy, Elsevier, vol. 119(C), pages 1119-1130.
    2. Carlo Cravero & Davide Marsano, 2023. "Numerical Simulation of Melted Glass Flow Structures inside a Glass Furnace with Different Heat Release Profiles from Combustion," Energies, MDPI, vol. 16(10), pages 1-16, May.
    3. 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.
    4. Carlo Cravero & Davide De Domenico, 2019. "The Use of CFD for the Design and Development of Innovative Configurations in Regenerative Glass Production Furnaces," Energies, MDPI, vol. 12(13), pages 1-17, June.

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