Recent advances in high-fidelity simulations of pulverized coal combustion

Cai, Ruipeng; Luo, Kun; Watanabe, Hiroaki; Kurose, Ryoichi; Fan, Jianren

doi:10.1016/j.apt.2020.05.001

Cited by 18 publications

(1 citation statement)

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“…Because computational fluid dynamics (CFD) can provide detailed information on pulverized coal combustion (PCC), it has been widely used to investigate PCC, such as ignition, , combustion modes, − NO x formation, − and oxy-coal combustion. − However, the CFD study of PAHs formation during coal combustion is quite challenging, because a very detailed chemical reaction mechanism is required, which usually includes hundreds of species and thousands of reactions. To overcome this problem, a flamelet model that decouples chemical kinetics from underlying flow has been developed to reduce the computational cost.…”

Section: Introductionmentioning

confidence: 99%

Dual-Scale Flamelet/Progress Variable Approach for Prediction of Polycyclic Aromatic Hydrocarbons Formation under the Condition of Coal Combustion

et al. 2020

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A dual-scale flamelet/progress variable (DS-FPV) approach is developed to predict polycyclic aromatic hydrocarbon (PAH) formation in the environment of coal combustion. An additional progress variable C PAHs is newly defined in this approach to describe the evolution of PAHs, and the major species and temperature are still described by the traditional progress variable defined in the original FPV approach. Detailed chemistry simulations of a counterflow flame fueled with volatile matter and char off-gas are performed, and the solutions are regarded as references to evaluate the developed DS-FPV approach. It is found that the position of PAHs formation is located at the region that is close to the flame center in the fuel-rich side, and PAHs are mainly produced at the stage of volatile combustion. The original FPV approach can correctly predict the major species and temperature, but significant discrepancies appear for the species of PAHs that has a very weak correlation with the traditional progress variable. This issue is successfully addressed by the DS-FPV approach. Both the a priori and a posteriori analyses demonstrate that the developed DS-FPV approach can accurately and efficiently predict not only the distribution of major species and temperature but also the distribution of PAHs, although the peak values of mass fractions of PAHs are slightly underpredicted. The extension of this approach to turbulent pulverized coal combustion needs further efforts in the future.

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