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

Davide Basso, Carlo Cravero, Andrea P. Reverberi and Bruno Fabiano
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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

Energies, 2015, vol. 8, issue 8, 1-17

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.

Keywords: CFD; energy efficiency; glass process plant; regenerator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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