Integrating a simplified P-N radiation model with EdmFoam1.5: Model assessment and validation

Kassem, Hassan; Saqr, Khalid M.; Sies, Mohsin M.; Wahid, Mazlan Abdul

doi:10.1016/j.icheatmasstransfer.2012.03.009

Cited by 7 publications

(1 citation statement)

References 37 publications

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“…Thermal radiation dominates the heat-transfer processes in combustion or high-temperature gasification. , To give accurate prediction of the radiative heat source/sink distribution in a concerned space, much effort has been done and many models, including the discrete transfer radiation model, the P–N radiation model, the Rosseland radiation model, the surface-to-surface radiation model, and the discrete ordinates radiation model, have been developed by researchers worldwide to solve the radiative transfer equation (RTE), where I r is the radiation intensity, r⃗ is the position vector, s⃗ is the direction vector, s denotes the beam path length, a r is the absorption coefficient, σ s is the scattering coefficient, n r is the refractive index, σ r is the Stefan–Boltzmann constant, s⃗ ′ denotes the scattering direction vector. Θ is the phase function, and Ω′ denotes the solid angle.…”

Section: Introductionmentioning

confidence: 99%

A Modified Exponential Wide Band Model for Gas Emissivity Prediction in Pressurized Combustion and Gasification Processes

Yan

Cao

et al. 2018

Energy Fuels

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Accurate and fast prediction of the gas emissivity in a wide range of pressure and temperature is very essential for the accurate and efficient simulation of the combustion and gasification processes. In this work, the total emissivities of the main radiant species including H2O, CO2, CO, and their mixtures are first generated with the line-by-line (LBL) model and the HITEMP-2010 spectroscopic database at different total pressures varying from 0.1 atm to 30 atm and at different temperatures varying from 300 K to 2500 K. Then, the exponential wide band model (EWBM) is modified according to the LBL results and simplified using the polynomial fitting method and the table look-up scheme. Finally, a modified EWBM (M-EWBM) is presented. The performances of the EWBM, the M-EWBM, and the LBL model are comprehensively compared, and it is found that the M-EWBM is more accurate than the EWBM and can be as efficient as the weighted-sum-of-gray-gas model, making it very promising for the total gas emissivity prediction in the pressurized combustion and gasification simulations.

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