Effect of different fuel NO models on the prediction of NO formation/reduction characteristics in a pulverized coal combustion field

To investigate the effects of fuel NO formation models on the prediction of NO concentrations in a coal combustion field, numerical simulations for a coal combustion field in a 760 kW test furnace were performed. Three models, those proposed by De Soete, Chen et al. and Mitchell et al. were employed...

Full description

Saved in:
Bibliographic Details
Published inEnergy (Oxford) Vol. 118; pp. 47 - 59
Main Authors Hashimoto, Nozomu, Watanabe, Hiroaki, Kurose, Ryoichi, Shirai, Hiromi
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.01.2017
Elsevier BV
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:To investigate the effects of fuel NO formation models on the prediction of NO concentrations in a coal combustion field, numerical simulations for a coal combustion field in a 760 kW test furnace were performed. Three models, those proposed by De Soete, Chen et al. and Mitchell et al. were employed to calculate fuel NO formation originating from volatile matter. The results show that the model proposed by Mitchell et al. reproduces the tendency of the experimental data better than the other two models. In addition, the difference between the NO conversion ratios of bituminous coal and sub-bituminous coal that contains a high level of moisture was examined in detail using simulation results from the model of Mitchell et al. It was found that the formation of a region with a low oxygen mole fraction immediately downstream of a region with a high NO production rate is essential to realize a low NO conversion ratio. •We study the effects of fuel NO formation models on NO prediction performance by CFD.•Three fuel NO models were employed to predict NO concentration in a coal combustion field.•Mitchell et al.'s model reproduces the experimental data better than other two models.•An essential condition to realize a low NO emission was clarified by using CFD result.
ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2016.12.003