A direct numerical simulation study on combustion and NO formation of coal/ammonia co-firing flames

Xing, Jiangkuan; Luo, Kun; Kurose, Ryoichi

doi:10.1016/j.apt.2024.104484

Cited by 2 publications

(1 citation statement)

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“…In the present study, a coal/ammonia co-firing flame in a temporally evolving turbulent mixing layer is calculated using PP-DNS with detailed chemistry, as shown in Figure . The computational configuration features a typical combustion scenario in which coal particles carried by air or an ammonia/air mixture are injected into a hot furnace, which was initially designed by Rieth et al from their flamelet LES results and further employed by other PP-DNS studies of solid fuel combustion. ,, However, it is noted that in the present study, the hot coflow is not a burnt mixture of lean premixed volatile/air but a hot air to avoid the effect of the premixed mode (burnt mixture of lean premixed volatile/air) on the model evaluation of diffusion flamelets. The computational domain, with dimensions L x , L y , and L z of 22.4, 22.4, and 11.2 mm, respectively, is used.…”

Section: Computational Configuration and Setupmentioning

confidence: 99%

Direct Numerical Simulation and Flamelet Modeling of Coal/Ammonia Cofiring Flame

Xue,

Xing,

Tang

et al. 2024

Energy Fuels

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Combusting ammonia with coal is regarded as an effective technical approach for reducing carbon emissions. This process involves multiple fuel streams and nitrogen sources, posing challenges for accurate and efficient modeling of combustion and NO formation. The present paper presented a point-particle direct numerical simulation (PP-DNS) work with detailed chemistry for a coal/ammonia co-firing flame, and a flamelet/progress variable (FPV) model for ammonia/coal co-firing was applied to consider the multiple fuel streams and reacting stages. The performance of the extended FPV model was evaluated by conducting a priori analyses with the PP-DNS solution as benchmarks. The gas temperature, major species, and CO profiles in the PP-DNS can be well reproduced by the extended FPV model. The reaction time scale analysis indicated that NO is formed on the same order of time scale as those of the major species in this flame. Therefore, it can be acceptably predicted by directly extracting data from the flamelet tables. Incorporating NO in the progress variable does not enhance the NO prediction and lowers the accuracy of the temperature and major species predictions. The main deviations of NO prediction can be attributed to the multi-dimensional effect.

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