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Quantitative Measurement of the Stability of a Pulverized Coal Fired Flame through Digital Image Processing and Statistical Analysis

Xu, Weicheng, Yan, Yong, Huang, Xiaobin, Hu, Yonghui (2023) Quantitative Measurement of the Stability of a Pulverized Coal Fired Flame through Digital Image Processing and Statistical Analysis. Measurement, 206 . Article Number 112328. ISSN 0263-2241. E-ISSN 1873-412X. (doi:10.1016/j.measurement.2022.112328) (KAR id:99002)

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https://doi.org/10.1016/j.measurement.2022.112328

Abstract

The stability of pulverized coal flames is a well-known problem in the power industry. Unstable flames often lead to lower combustion efficiency, higher pollutant emissions, and other operational problems. Many methods are available for flame monitoring and characterization, but very few are suitable for flame stability monitoring. This paper presents a method for assessing flame stability continuously and quantitatively by introducing a term named numerical indicator of flame stability based on digital image processing. This numerical indicator combines the statistical characteristics of four flame parameters which are derived from the flame images. To evaluate the effectiveness of the proposed method, the numerical indicator of a pulverized coal flame during a routine unit “turning off” process was determined on a 600 MWth coal-fired supercritical unit. Experimental results suggest that the flame stability at different stages of the turning off process is correctly quantified with the numerical indicator.

Item Type: Article
DOI/Identification number: 10.1016/j.measurement.2022.112328
Uncontrolled keywords: Pulverized coal; Flame stability; Flame monitoring; Digital imaging; Image processing; Statistical analysis.
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Yong Yan
Date Deposited: 08 Dec 2022 10:32 UTC
Last Modified: 10 Dec 2023 00:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/99002 (The current URI for this page, for reference purposes)

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