Radiative heat transfer in the core of axisymmetric pool fires - I: Evaluation of approximate radiative property models

被引:27
作者
Consalvi, J. L. [1 ]
Liu, F. [2 ]
机构
[1] Aix Marseille Univ, IUSTI, UMR CNRS 7343, F-13453 Marseille 13, France
[2] Natl Res Council Canada, Ottawa, ON K1A 0R6, Canada
关键词
Pool fire; Fuel rich core; Radiation; Gas radiative property models; Line-by-line model; k-Distributions; K-DISTRIBUTION METHOD; NARROW-BAND; THERMAL-RADIATION; MIXTURES; DISTRIBUTIONS; ABSORPTION; PREDICTION; ACCURACY; DATABASE; GASES;
D O I
10.1016/j.ijthermalsci.2014.04.018
中图分类号
O414.1 [热力学];
学科分类号
摘要
Radiative heat transfer calculations are conducted in two laboratory-scale axisymmetric methane pool fires generated on a burner of 038 m diameter with heat release rates (HRR) of 34 and 176 kW by using the 'exact' Line-By-Line (LBL) method, the narrow band correlated-k (NBCK) model, the full-spectrum correlated-k (FSCK) model, the multi-scale full-spectrum k-distribution (MSFSK) model, and a grey wide-band model (WBM). For each radiative model the corresponding absorption coefficients for carbon dioxide, water vapor, carbon monoxide and methane are generated from the same high-resolution spectroscopic database. Model results show that the contribution of carbon monoxide can be neglected whereas that of methane increases with HRR. In addition, the grey approximation for soot holds for these weakly sooting flames. Comparisons with LBL solutions show that WBM fails to predict accurately the radiative heat transfer through the fuel rich core. The FSCK model presents the best compromise in terms of accuracy and computational efficiency for the 34 kW pool fire. However, significant discrepancies are observed for the 176 kW pool fire where the strong attenuation of radiation by methane invalidates the 'correlated' assumption of the absorption coefficient. MSFSK and NBCK models provide very accurate predictions, with the MSFSK model being more efficient when overlap parameters are tabulated as a function of temperature and composition. (C) 2014 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:104 / 117
页数:14
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