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Performance analysis for glass furnace regenerator

Author

Listed:
  • Sardeshpande, Vishal
  • Anthony, Renil
  • Gaitonde, U.N.
  • Banerjee, Rangan

Abstract

Glass manufacturing is an energy intensive process where fossil fuel is used to maintain high temperature (about 1700°C) for glass melting. Heat recovery from flue gas (1350–1500°C) is usually in the form of combustion air pre-heating (900–1200°C) using a regenerator. Dust from flue gas which is carried over from the furnace gets deposited in the regenerator storage matrix path. This leads to a deterioration of regenerator efficiency. A regenerator model is developed to estimate the actual performance of the regenerator and to compare it with the target performance. The proposed model is based on mass and energy balance of streams along with heat transfer characteristic equations. The model is illustrated for a 130 TPD (Ton per Day) furnace regenerator of an industrial glass plant at Mumbai, India. Model results for the regenerator studied indicate a blockage of 50% on the doghouse side and 22% on the non-doghouse side of the regenerator. The actual performance of the regenerator is found to be 7% lower than its target performance for the doghouse side regenerator. The model developed can also be used in other industrial sectors like steel, chemical etc.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:12:p:4451-4458
    DOI: 10.1016/j.apenergy.2011.05.028
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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. Felipe Solferini de Carvalho & Luiz Carlos Bevilaqua dos Santos Reis & Pedro Teixeira Lacava & Fernando Henrique Mayworm de Araújo & João Andrade de Carvalho Jr., 2023. "Substitution of Natural Gas by Biomethane: Operational Aspects in Industrial Equipment," Energies, MDPI, vol. 16(2), pages 1-19, January.
    3. El-Shafie, Mostafa & Kambara, Shinji & Hayakawa, Yukio & Hussien, A.A., 2021. "Integration between energy and exergy analyses to assess the performance of furnace regenerative and ammonia decomposition systems," Renewable Energy, Elsevier, vol. 175(C), pages 232-243.
    4. 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.
    5. Stack, Daniel C. & Curtis, Daniel & Forsberg, Charles, 2019. "Performance of firebrick resistance-heated energy storage for industrial heat applications and round-trip electricity storage," Applied Energy, Elsevier, vol. 242(C), pages 782-796.
    6. 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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