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http://dx.doi.org/10.14346/JKOSOS.2017.32.1.27

Prediction of the Combustion Performance in the Coal-fired Boiler using Response Surface Method  

Shin, Sung Woo (Department of Safety Engineering, Pukyong National University)
Kim, Sin Woo (Department of Safety Engineering, Pukyong National University)
Lee, Eui Ju (Department of Safety Engineering, Pukyong National University)
Publication Information
Journal of the Korean Society of Safety / v.32, no.1, 2017 , pp. 27-32 More about this Journal
Abstract
The experimental design methodology was applied in the real scale coal-fired boiler to predict the various combustion properties according to the operating conditions and to assess the coal plant safety. Response surface method (RSM) was introduced as a design of experiment, and the database for RSM was provided with the numerical simulation of the coal-fired boiler. The three independent variables, high heating value of coal (HHV), overall stoichiometry excess air ratio (OST), and burner-side stoichiometry excess air ratio (BST), were set to characterize the cross section averaged NOx concentration and temperature distribution. The maximum NOx concentration was predicted accurately and mainly controlled by BST in the boiler. The parabola function was assumed for the zone averaged peak temperature distribution, and the prediction was in a fairly good agreement with the experiments except downstream. Also, the location of the peak temperature was compared with that of maximum NOx, which implies that thermal NOx formation is the main mechanism in the coal-fired boiler. These results promise the wide use of statistical models for the fast prediction and safety assessment.
Keywords
plant safety; response surface method (RSM); coal-fired boiler; NOx; high heating value (HHV);
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Times Cited By KSCI : 3  (Citation Analysis)
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