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A Numerically Efficient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces
Author(s) -
Spijker Christoph,
Swaminathan Senthilathiban,
Raupenstrauch Harald
Publication year - 2020
Publication title -
steel research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.603
H-Index - 49
eISSN - 1869-344X
pISSN - 1611-3683
DOI - 10.1002/srin.202000239
Subject(s) - nitrogen oxide , nitrogen oxides , computational fluid dynamics , nitrogen , process engineering , environmental science , scale (ratio) , nox , computer science , waste management , engineering , combustion , aerospace engineering , chemistry , physics , organic chemistry , quantum mechanics
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.