4.7 Article

Validation of a coupled 3D CFD simulation model for an oxy-fuel cross-fired glass melting furnace with electric boosting

期刊

APPLIED THERMAL ENGINEERING
卷 195, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2021.117166

关键词

Glass melting furnace; Oxy-fuel combustion; CFD simulation; Coupled method

资金

  1. Austrian Research Promotion Agency (FFG)
  2. European Regional Development Fund (ERDF) [878167, 31987466, 884804, 37352202]

向作者/读者索取更多资源

Glass furnaces pose a continuous challenge for CFD simulations due to the complex description of multiple phases. Research identified unsuitable oxy-fuel combustion models and a lack of advanced coupling methods. A 3D CFD simulation model for an oxy-fuel glass furnace with electric boosting introduced significant improvements, resulting in accurate temperature predictions of less than 1.93% and 3.81% of experimental data for the combustion chamber and glass tank, respectively.
Glass furnaces represent a continuous challenge for CFD simulations, which is attributed to the complex description of multiple phases: the turbulent gas phase, raw materials from a solid glass batch and the laminar liquid phase of the glass melt. Prevalence of unsuitable oxy-fuel combustion models, like the eddy-dissipation model, and the lack of advanced coupling methods for the coupling of combustion chamber and glass tank domains have been identified as research gaps in glass furnace simulations. These are tackled in a 3D CFD simulation model for an oxy-fuel glass furnace with electric boosting by introducing two significant improvements compared to previous approaches: (1) The partially-premixed steady diffusion flamelet model in combination with a skeletal25 reaction mechanism was used for combustion modelling. (2) An advanced iterative coupled simulation method is presented, which introduces damping of the solution and a rigorous termination condition. By employing the presented models, the respective temperatures in the combustion chamber and the glass tank were predicted within less than 1.93% and 3.81% of the experimental data.

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