A Numerically Efficient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces

Nitrogen oxides emissions are a concern in industrial furnaces, due to constantly increasing environmental requirements. A cost-effective way to reduce emissions is an optimization of the burners in the furnace using computational fluid dynamics (CFD) methods. Still, state of the art approaches are computationally too expensive for real scale geometries such as industrial furnaces, or can not predict the nitrogen concentrations with sufficient accuracy. Therefore, the development of nitrogen oxides post-processors was defined in K1-Met projects in 2012. Currently, there are three different variations available, where the generation 2.0+ is the latest development.