Importance of experiments, empirical models and CFD for up to date burners design for process industries
Systematic methods and tools for managing the complexity
Tools Integration - CAPE Methods & Tools (T4-10P)
Keywords: design of experiment, empirical model, computational modelling
We are nowadays witnessing a steady increase in the frequency of application of complex models based on computational fluid dynamics or structural analysis. At the same time, the cost of full-scale experiments grows, thus constraining the possibilities for design or operation optimisation based uniquely on experiment and measuring. In some cases however, experimental approach cannot be substituted by computational modelling, which applies also to tuning of design of new burners. Due to the high cost of experiments therefore grows the importance of careful experiment planning and statistical data analysis. This is closely connected to design of empirical and semi-empirical models, role of which generally decreases, but they remain indispensable for analysis of experiments.
The present work deals with the design of experiment from its preparation, through experiment planning, that follows preliminary considerations about the model, implementation of the experiment and subsequent evaluation. Furthermore, we point out the problems of the execution of full experiment with high number of factors and outline the possibilities of creating the basis for fractional experiment. The considerations are demonstrated on experiments with diffusion gas burners, where investigation focuses on the influence of individual design parameters on the formation of nitrogen oxides. Importance for industrial practice, equipment and consequently processes is demonstrated.
See the full pdf manuscript of the abstract.
Presented Thursday 20, 13:30 to 14:40, in session Tools Integration - CAPE Methods & Tools (T4-10P).
