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Improvement of the prediction accuracy of NO emissions in counter-flow diffusion flames on using NO mass fraction as a progress variable

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conference contribution
posted on 22.05.2017 by S. Yokoi, Shohei Mikami, Yoshiya Matsukawa, Y. Saito, Yohsuke Matsushita, H. Aoki, Weeratunge Malalasekera
Computational fluid dynamics has been widely used to predict the production of nitrogen oxide (NO). Flamelet approach is commonly used as a modelling technique to perform turbulent combustion simulations. As the prediction of NO emissions with the flamelet approach is not reliable, when predicting the NO emission, the NO emissions are calculated with the conservation equation of NO mass fraction, and the NO production rate is predicted with the flamelet approach. In this study, we used the mixture fraction and NO mass fraction to predict the NO production rate in the conservation equation of the NO mass fraction, comparing the numerical results calculated with proposed method with those with the conventional methods and detailed chemistry model. Numerical simulations of counter-flow diffusion flames where NO was not supplied, that was supplied with fuel, and that was supplied with oxidizer indicated that the distribution of NO mole fraction calculated with the proposed method was in better agreement with that of the detailed chemistry model than that of the conventional methods.

Funding

This work was supported by JSPS KAKENHI grant number 15J04680, and the part of this work was carried out under Leading Young Researcher Overseas Visit Program of Tohoku University.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

8th European Combustion Meeting

Pages

920 - 924 (5)

Citation

YOKOI, S. ...et al., 2017. Improvement of the prediction accuracy of NO emissions in counter-flow diffusion flames on using NO mass fraction as a progress variable. Presented at the 8th European Combustion Meeting, Dubrovnik, Croatia, April 18-21st, pp. 920-924.

Publisher

© The Authors.

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

01/03/2017

Publication date

2017

Notes

This is a conference paper.

Language

en

Location

Dubrovnik, Croatia

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