Monitoring regenerative steel reheating burners using an intelligent flame diagnostic system

S M Thai; Steven Wilcox; C K Tan; A Z S Chong; J Ward; G Andrews

doi:10.1016/j.joei.2014.02.006

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Monitoring regenerative steel reheating burners using an intelligent flame diagnostic system

Journal article

Peer reviewed

Monitoring regenerative steel reheating burners using an intelligent flame diagnostic system

S M Thai, Steven Wilcox, C K Tan, A Z S Chong, J Ward and G Andrews

Energy Institute. Journal, Vol.87(1), pp.48-58

2014

DOI: https://doi.org/10.1016/j.joei.2014.02.006

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Abstract

Signal processing

Industrial heating

Nitrogen oxides

Experiments

Diagnostic systems

Direct measurement

Flame monitoring systems

Modelling techniques

Neural network model

Nitrogen oxides emission

Off-line analysis

Operating condition

The present paper describes the use of an intelligent Flame Monitoring System on regenerative steel reheating burners based on direct measurement and analysis of the flame radiation signals. A series of experiments were conducted on a 500 kW furnace fitted with two burners firing in a regenerative manner. The experiments covered a wide range of burner operating conditions including variations in the burner firing-rate and excess air levels. Gas supply to one of the burners was manually reduced in order to simulate burner imbalance. The flame radiation signals were acquired using a fibre-optic based optical instrument incorporating broad ultraviolet, visible and infra-red photodiodes. The correlation between the dynamic flame signals with respect to the excess air level and nitrogen oxides emissions were made using neural network models following off-line analysis of the acquired signals using different signal processing methods, to yield a set of flame features. The present work indicates that the measurement of flame radiation characteristics, coupled with advanced data modelling techniques such as neural network, provides a promising means of monitoring and optimising burner performance.

Details

Title: Monitoring regenerative steel reheating burners using an intelligent flame diagnostic system
Authors: S M Thai (Author) - University of Glamorgan
Steven Wilcox (Author) - University of Glamorgan
C K Tan (Author) - University of Glamorgan
A Z S Chong (Author) - University of Glamorgan
J Ward (Author) - University of Glamorgan
G Andrews (Author) - University of Glamorgan
Publication details: Energy Institute. Journal, Vol.87(1), pp.48-58; 11
Publisher: Elsevier Advanced Technology
Date published: 2014
DOI: 10.1016/j.joei.2014.02.006
ISSN: 1746-0220; 1743-9671
Organisation Unit: Office of the Deputy Vice-Chancellor (Academic); University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99513906702621
Output Type: Journal article

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