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MODELING OF A FGR INDUSTRIAL FURNACE USING LINEAR TRANSFER FUNCTIONS FOR NOx CONTROL

DOI: 10.1615/IHTC13.p22.350
page 7

R. Zhang
The University of Western Ontario, London, Canada

Chao Zhang
Department of Mechanical and Materials Engineering The University of Western Ontario, London, ON, Canada N6A 5B9

J. Jiang
The University of Western Ontario, London, Canada

Abstract

Flue gas recirculation (FGR) is one of the effective ways to reduce nitric oxides (NOx) emission in combustion processes of conventional industrial furnaces. This paper concentrates on the construction of the linear dynamic model for a FGR furnace based on numerical solutions of partial differential equations describing the fluid flow and heat transfer in the furnace. The frequency responses at several frequencies around the designed furnace operating point are established, from which the transfer functions are derived using system identification techniques. The models are validated by comparing their responses with those based on a full-scale computational fluid dynamics simulation. This dynamic model provides a starting point for the design of real-time optimal feedback control systems for minimizing NOx emission.

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