77
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

IMPERFECTLY STIRRED REACTOR MODEL PREDICTIONS OF REACTION IN A BURNER WITH STRONG RECIRCULATION

&
Pages 45-70 | Received 01 Nov 2002, Accepted 01 Jun 2003, Published online: 11 Aug 2010
 

Abstract

An imperfectly stirred reactor (ISR) is a model that can be applied to strongly recirculating reactive flows. This model, which is based on the conditional moment closure method, uses the simplifying approximation that conditionally averaged reactive scalars are independent of position in the reactor. This approximation results in simple ordinary differential equations in mixture fraction space. The simplicity of the model permits use of quite complex chemical kinetics with a relatively small computational cost. In this work the ISR model is applied to an experimental combustor. The first step in the modeling is to obtain the mixture fraction PDFs at positions inside the reactor. To do this, flow and mixing fields are calculated using a computational fluid dynamics code based on a k–ε model and fast chemistry method. Results are then used as input to the ISR code. Mean values of the reactive scalars are compared with experimental data obtained from measurements performed on a burner at the University of Sydney. The comparison shows good agreement in the case of CO, CO2, and temperature, but the methodology still needs to be improved.

Notes

1Observed flame height.

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 1,493.00 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.