Large eddy simulation of soot formation in a laboratory pulverized coal flame

Cai, Ruipeng; Luo, Kun; Tang, XinZhou; Zhao, Chunguang; Liu, Anxiong; Xing, Jiangkuan; Fan, Jianren

doi:10.1016/j.apt.2024.104365

Cited by 1 publication

(1 citation statement)

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“…The flamelet/progress variable (FPV) model allows for the consideration of detailed mechanisms at an acceptable computational expense and incorporates turbulent-chemistry interactions through a preassumed probability density function (PDF) approach . The FPV model for pulverized coal combustion was originally developed by Watanabe and Yamamoto , and has been further extended to consider multiple fuel streams, − heat losses, − reacting stages, NO formation, − polycyclic aromatic hydrocarbon formation, and soot formation − in recent years, and reasonable agreements with the experimental data or detailed chemistry predictions can be achieved. However, as for the coal and ammonia co-firing flame, there have only been three flamelet LES works reported for combustion modeling of coal and ammonia co-firing. − In the study by Meller et al, they first validated the performance of their flamelet models on the CRIEPI coal flame and then conducted a parametric study to evaluate the ammonia co-firing on flame behavior.…”

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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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