Title of article :
Models for gaseous radiative heat transfer applied to oxy-fuel conditions in boilers
Author/Authors :
Robert Johansson and Alexander Medvedev، نويسنده , , Klas Andersson، نويسنده , , Bo Leckner، نويسنده , , Henrik Thunman، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
11
From page :
220
To page :
230
Abstract :
Models of gas radiation properties have been evaluated for conditions relevant to oxy-fired boilers, characterized by larger pressure path-lengths and possibly different ratios of H2O/CO2 compared to air-fired boilers. Statistical narrow band (SNB) models serve as reference. The other radiation models tested are the weighted-sum-of-grey-gases model, the spectral line-based weighted-sum-of-grey-gases model and two grey-gas approximations. The range of validity of the existing coefficients of the weighted-sum-of-grey-gases model is limited, and new coefficients have therefore been determined to cover the conditions of interest. Several assumed test cases, involving both uniform and non-uniform paths, have been studied to evaluate the accuracy of the models. Comparisons with experimental data are also included. The results show that a grey approximation can give accurate wall fluxes, but at the expense of errors in the radiative source term. The weighted-sum-of-grey-gases model with the new coefficients yields predictions within 20% of those of the reference model in most cases, while the spectral line-based weighted-sum-of-grey-gases model usually gives results within 10%. There are, however, discrepancies between the SNB models at high temperatures. The weighted-sum-of-grey-gases model with its low computational cost is recommended for computationally demanding applications where predictions of both wall fluxes and the radiative source term are important.
Keywords :
Modelling , CFD , Oxy-fuel , Gas radiation
Journal title :
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
Serial Year :
2010
Journal title :
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
Record number :
1076420
Link To Document :
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