TGA-FTIR for kinetic and evolved gas analysis of the coal particles in dust deflagration
The common approach in the dust deflagration simulations ignores the temperature gradient inside of the particles. Therefore, the reaction rate of the particle at one temperature remains constant. In order to explore the mass loss and evolve gas characters during the coal particle decomposition proc...
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Veröffentlicht in: | Applied thermal engineering 2023-08, Vol.231, p.120881, Article 120881 |
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Sprache: | eng |
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Zusammenfassung: | The common approach in the dust deflagration simulations ignores the temperature gradient inside of the particles. Therefore, the reaction rate of the particle at one temperature remains constant. In order to explore the mass loss and evolve gas characters during the coal particle decomposition procedures, a single-particle model was created using OpenFOAM tool kit. In this study, the pyrolysis characteristics and gas properties of the coal sample were determined by TGA-FTIR. The evolution of gases in real-time was investigated and implemented as kinetic models in the dust deflagration. To solve the heat and mass transfer of the single-particle, a two-phase solver based on the Eulerian method was developed based on reactingFoam. The porosity of the coal particle was included with respect to the coal mass. The result of the heat and mass transfer of the single-particle model agrees well with the experiment. In order to simulate the particle behavior in the dust explosion, new boundary conditions extracted from dust explosion simulations will be implemented. The final goal of the single-particle model is to implement the new particle decomposition behavior into the full scale of dust explosion simulations.
•A novel single-particle model is developed for simulating coal dust deflagration using TGA-FTIR data.•The study investigates particle size impact and internal effects with a comprehensive model.•The simplified model achieves a balance between precision and computational efficiency. |
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ISSN: | 1359-4311 |
DOI: | 10.1016/j.applthermaleng.2023.120881 |