IngentaConnect A quantitative method for a priori evaluation of combustion react...

Authors: Sutherland, James¹; Smith, Philip¹; Chen, Jacqueline²

Source: Combustion Theory and Modelling, Volume 11, Number 2, April 2007 , pp. 287-303(17)

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Abstract:

In recent years, direct numerical simulations have been used increasingly to evaluate the validity and performance of combustion reaction models. This study presents a new, quantitative method to determine the ideal model performance attainable by a given parameterization of the state variables. Data from direct numerical simulation (DNS) of unsteady CO/H2-air jet flames is analysed to determine how well various parameterizations represent the data, and how well specific models based on those parameterizations perform. Results show that the equilibrium model performs poorly relative to an ideal model parameterized by the mixture fraction. The steady laminar flamelet model performs quite well relative to an ideal model parameterized by mixture fraction and dissipation rate in some cases. However, at low dissipation rates or at dissipation rates exceeding the steady extinction limit, the steady flamelet model performs poorly. Interestingly, even in many cases where the steady flamelet model fails (particularly at low dissipation rate), the DNS data suggests that the state may be parameterized well by the mixture fraction and dissipation rate. A progress variable based on the CO2 mass fraction is proposed, together with a new model based on the CO2 progress variable. This model performs nearly ideally, and demonstrates the ability to capture extinction with remarkable accuracy for the CO/H2 flames considered.

Keywords: Combustion modelling; direct numerical simulation; manifold; progress variable

Document Type: Research article

DOI: 10.1080/13647830600936969

Affiliations: 1: Department of Chemical & Fuels Engineering, University of Utah, Salt Lake City, UT, USA 2: Combustion Research Facility, Sandia National Laboratories, Livermore, CA, USA

A quantitative method for a priori evaluation of combustion reaction models