Design and analysis of experiments for low-NOx burners design for process industries

Design and analysis of experiments for low-NOx burners design for process industries

Paper in proceedings (conference paper)

At present period the application of complex models based on computational fluid dynamics (CFD) increases. At the same time, the cost of full experiments with high number of factors grows rapidly. In some cases, however, experimental approach cannot be fully substituted by computational modeling, which applies also to tuning of design of new burners. Due to high cost of experiments therefore grows the importance of their proper design and statistical data analysis. The application of statistical methodologies leads to the determination of key product design parameters that control its performance. The present work presents an experiment from its preparation and planning, preliminary considerations about the model and implementation of the experiment, to its subsequent evaluation. Furthermore, we point out the problems of performing full experiment with high number of factors, which would be expensive and time consuming, and outline the possibilities of creating the basis for fractional experiment. The experiment presented in this work is carried out at an up to date experimental facility for testing diffusion gas burners. The investigation focuses on the influence that burner design parameters have on the formation of nitrogen oxides. Priority is however always given to the functionality of the burner (namely flame stability).

At present period the application of complex models based on computational fluid dynamics (CFD) increases. At the same time, the cost of full experiments with high number of factors grows rapidly. In some cases, however, experimental approach cannot be fully substituted by computational modeling, which applies also to tuning of design of new burners. Due to high cost of experiments therefore grows the importance of their proper design and statistical data analysis. The application of statistical methodologies leads to the determination of key product design parameters that control its performance. The present work presents an experiment from its preparation and planning, preliminary considerations about the model and implementation of the experiment, to its subsequent evaluation. Furthermore, we point out the problems of performing full experiment with high number of factors, which would be expensive and time consuming, and outline the possibilities of creating the basis for fractional experiment. The experiment presented in this work is carried out at an up to date experimental facility for testing diffusion gas burners. The investigation focuses on the influence that burner design parameters have on the formation of nitrogen oxides. Priority is however always given to the functionality of the burner (namely flame stability).

design of experiments, statistical data analysis, empirical model, formation of nitrogen oxides

design of experiments, statistical data analysis, empirical model, formation of nitrogen oxides

BĚLOHRADSKÝ, P.; KERMES, V.; STEHLÍK, P.

2010

25.03.2008

Cenertec - Centro De Energia E Tecnologia

Rio Tinto

978-972-99309-3-5

Conference CD - Proceedings of the 8th European Conference on Industrial Furnaces and Boilers

Conference CD

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