Mitigating Thermal NOx by Changing the Secondary Air Injection Channel: A Case Study in the Cement Industry

Journal Article (2021)
Author(s)

Domenico J.P. Lahaye (TU Delft - Mathematical Physics)

Mohamed El Abbassi (TU Delft - Numerical Analysis)

Cornelis Vuik (TU Delft - Numerical Analysis)

Marco Talice (PM2 Engineering)

F. Juretic (Creative Field)

Research Group
Numerical Analysis
Copyright
© 2021 D.J.P. Lahaye, M. El Abbassi, Cornelis Vuik, Marco Talice, F. Juretic
DOI related publication
https://doi.org/10.3390/fluids5040220
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 D.J.P. Lahaye, M. El Abbassi, Cornelis Vuik, Marco Talice, F. Juretic
Research Group
Numerical Analysis
Issue number
4
Volume number
5
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Abstract

This work studies how non-premixed turbulent combustion in a rotary kiln depends on the
geometry of the secondary air inlet channel. We target a kiln in which temperatures can reach values above 1800 degrees Kelvin. Monitoring and possible mitigation of the thermal nitric-oxide (NOx) formation is of utmost importance. The performed reactive flow simulations result in detailed maps of the spatial distribution of the flow, thermodynamics and chemical conditions of the kiln. These maps provide valuable information to the operator of the kiln. The simulations show the difference between the existing and the newly proposed geometry of the secondary air inlet. In the existing configuration, the secondary air inlet is rectangular and located above the base of the burner pipe. The secondary air flows into the furnace from the top of the flame. The heat release by combustion is unevenly distributed throughout the flame. In the new geometry, the secondary air inlet is an annular ring placed around the burner pipe. The secondary air flows circumferentially around the burner pipe. The new secondary air inlet geometry is shown to result in a more homogeneous spatial distribution of the heat release throughout the flame. The peak temperatures of the flame and the production of thermal NOx are significantly reduced. Further research is required to resolve limitations of various choices in our modeling approach.