Weighted-sum-of-gray-gases model based on k-distribution for gas mixture

被引：0

作者：

Yin X. ^{[1
]}

Wang L. ^{[1
]}

Liu Y. ^{[1
]}

Wu C. ^{[1
]}

机构：

[1] College of Energy and Power Engineering, Zhengzhou University of Light Industry, Zhengzhou

来源：

Huagong Xuebao/CIESC Journal | 2021年 / 72卷 / 06期

关键词：

Gas; Heat transfer; K-distribution; Radiation; Weighed-sum-of-gray-gases model;

D O I：

10.11949/0438-1157.20201530

中图分类号：

TK1 [热力工程、热机];

学科分类号：

080702 ;

摘要：

The complexity of the industrial combustion environment makes it difficult for the traditional weighted-sum-of-gray-gases (WSGG) model to meet the accuracy requirements of gas radiation characteristics calculations. Based on HITEMP2010 database, the k-distribution method is introduced into WSGG model based on the rank correlated theory. Assuming that the participating gases are statistically uncorrelated, a WSGG model for gas mixture with arbitrary concentration and temperature distribution is established by superposition method. The radiation heat transfer of non-isothermal and non-homogeneous gas mixtures under four different combustion conditions is calculated. The effectiveness of the new model is verified by comparing the radiative heat flux and radiative source term calculated by the new model with line-by-line(LBL) and other models. The results show that the new model parameters can well predict the radiation characteristics of gas mixture under any conditions. © 2021, Editorial Board of CIESC Journal. All right reserved.

引用

页码：3296 / 3305

页数：9

共 31 条

[1]

Centeno F R, Silva C V, Brittes R, Et al., Numerical simulations of the radiative transfer in a 2D axisymmetric turbulent non-premixed methane-air flame using up-to-date WSGG and gray-gas models, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 37, 6, pp. 1839-1850, (2015)

[2]

Liu G H, Liu Y Y, Liu F S, Et al., A grouping strategy for the multi-group full-spectrum K-distribution method in gas mixtures, Journal of Quantitative Spectroscopy and Radiative Transfer, 236, (2019)

[3]

Hou L F, Galtier M, Eymet V, Et al., Functional data analysis applied to the multi-spectral correlated-k distribution model, International Journal of Thermal Sciences, 124, pp. 508-521, (2018)

[4]

Modest M F., Inverse radiative heat transfer, Radiative Heat Transfer, pp. 779-802, (2013)

[5]

Chu H Q., Study of efficient and accurate non-gray gas radiation models, (2012)

[6]

Li H Y, Yan W P., Partial spectrum k-distribution model for radiative property of flue gas with soot and flyash from oxygen-enriched combustion, CIESC Journal, 62, 11, pp. 3073-3080, (2011)

[7]

Guo J J., Non-gray radiative property models for participating media and heat transfer characteristics in oxy-fuel combustion, (2018)

[8]

Coelho F R, Franca F H R., WSGG correlations based on HITEMP2010 for gas mixtures of H<sub>2</sub>O and CO<sub>2</sub> in high total pressure conditions, International Journal of Heat and Mass Transfer, 127, pp. 105-114, (2018)

[9]

Centeno F R, Brittes R, Franca F H R, Et al., Application of the WSGG model for the calculation of gas-soot radiation in a turbulent non-premixed methane-air flame inside a cylindrical combustion chamber, International Journal of Heat and Mass Transfer, 93, pp. 742-753, (2016)

[10]

Hottel H C, Sarofim A F., Radiative Transfer, (1967)

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