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A Numerically Efficient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces
Steel Research International ( IF 2.2 ) Pub Date : 2020-10-16 , DOI: 10.1002/srin.202000239
Christoph Spijker 1 , Senthilathiban Swaminathan 2 , Harald Raupenstrauch 1
Affiliation  

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.

中文翻译:

一种预测工业炉中氮氧化物排放量的高效数值方法

由于对环境的要求不断提高,氮氧化物的排放已成为工业炉中的一个问题。降低排放的一种经济有效的方法是使用计算流体力学(CFD)方法优化炉中的燃烧器。仍然,对于诸如工业炉的实际规模的几何形状,现有技术的方法在计算上过于昂贵,或者不能以足够的精度预测氮浓度。因此,2012年K1-Met项目中定义了氮氧化物后处理器的开发。当前,存在三种不同的变体,其中2.0+是最新的开发。
更新日期:2020-12-03
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