The Application of Computational Fluid Dynamics in the NOxOUT Process for Reducing NOx Emissions from Stationary Combustion Sources

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Title The Application of Computational Fluid Dynamics in the NOxOUT Process for Reducing NOx Emissions from Stationary Combustion Sources
Creator Michels, Dr. William F.; Gnaedig, Gregor ; Comparato, Joseph R.
Publisher Digitized by J. Willard Marriott Library, University of Utah
Date 1990
Spatial Coverage presented at San Francisco, California
Abstract Nalco Fuel Tech is using computational fluid dynamics (CFD) techniques as a design tool for applying the NOxOUT Process. NOxOUT is a selective non-catalytic reduction (SNCR) process for controlling oxides of nitrogen (NOx) emissions from the furnaces of power plants, incinerators, and other stationary sources. Chemicals which reduce NOx are injected using equipment designed to achieve optimum treatment of the flue gas stream under favorable temperature and residence time conditions. The paper describes the development of the CFD model to accurately handle fluid physical properties and chemical processes. Customized models are used to predict the flow fields and temperature profiles existing in the combustor. Injection simulation produces information on the dispersion of treatment chemicals, the effects on flow and temperature, and the production of reaction products. Experience in using the models for field testing and commercial design is presented.
Type Text
Format application/pdf
Language eng
Rights This material may be protected by copyright. Permission required for use in any form. For further information please contact the American Flame Research Committee.
Conversion Specifications Original scanned with Canon EOS-1Ds Mark II, 16.7 megapixel digital camera and saved as 400 ppi uncompressed TIFF, 16 bit depth.
Scanning Technician Cliodhna Davis
Metadata Cataloger Kendra Yates
ARK ark:/87278/s6fj2kbb
Setname uu_afrc
Date Created 2012-04-20
Date Modified 2012-09-20
ID 5889
Reference URL https://collections.lib.utah.edu/ark:/87278/s6fj2kbb