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

Download
  1. Get@NRC: Radiative heat transfer in the core of axisymmetric pool fires - I: Evaluation of approximate radiative property models (Opens in a new window)
DOIResolve DOI: http://doi.org/10.1016/j.ijthermalsci.2014.04.018
AuthorSearch for: ; Search for:
TypeArticle
Journal titleInternational Journal of Thermal Sciences
ISSN1290-0729
Volume84
Pages104117; # of pages: 14
SubjectAbsorption spectroscopy; Carbon dioxide; Carbon monoxide; Heat radiation; Methane; Plasma diagnostics; Radiative transfer; Absorption co-efficient; Gas radiative properties; Heat Release Rate (HRR); K distribution; Pool fires; Radiative heat transfer; Radiative property models; Spectroscopic database; Fire protection
AbstractRadiative heat transfer calculations are conducted in two laboratory-scale axisymmetric methane pool fires generated on a burner of 0.38 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. © 2014 Elsevier Masson SAS. All rights reserved.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); Measurement Science and Standards (MSS-SME)
Peer reviewedYes
NPARC number21272289
Export citationExport as RIS
Report a correctionReport a correction
Record identifier71873bf4-f6bd-4e50-aa7f-5b6cd19f147b
Record created2014-07-23
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)