Publication Cover
Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 47, 2005 - Issue 8
86
Views
10
CrossRef citations to date
0
Altmetric
Original Articles

A PARAMETRIC STUDY OF RADIATIVE HEAT TRANSFER IN AN INDUSTRIAL COMBUSTOR OF WOOD CARBONIZATION FUMES

, , &
Pages 825-847 | Received 25 Jun 2004, Accepted 18 Oct 2004, Published online: 24 Feb 2007
 

ABSTRACT

Radiative heat transfer is investigated numerically for an industrial combustor of wood carbonization fumes. The combustor has a complex geometry. The finite–volume method (FVM) is applied to study radiative heat transfer in conjunction with the weighted sum of gray gases (WSGG) model of Kim and Song as a non-gray-gas model. The blocked-off-region procedure is applied to treat the geometric irregularities. The reliability of this model, for a complex geometry filled with a semitransparent medium and a regular geometry containing water vapor, is analyzed by comparing its predictions with the exact solution and the Monte Carlo technique associated with the statistical narrow band (SNB) model. Good agreement with benchmarks is found. The extension of this model to a mixture of CO2, H2O, particles, and soot particles (confined in a complex geometry) is made. The effects of soot volume fraction, partial pressure ratio, particle concentration, and thermal nonequilibrium on the inner wall radiative heat flux of the combustor are presented.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 716.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.