Characterisation of the combustion behaviours of individual pulverised coal particles entrained by air using image processing techniques

Qian, Xiangchen; Li, Fengjie; Yan, Yong; Lu, Gang; Liu, Hao

Abstract

The combustion characteristics of individual coal particles are the basis for a deep understanding of the macroscopic pulverised coal combustion in power plant boilers. This work proposes a quantitative method to characterise the combustion behaviours of individual pulverised coal particles by measuring a set of physical parameters from digital images of the particles. The combustion process of pulverised particles of bituminous coal in a visual drop tube furnace was recorded by a high-speed camera with a frame rate of 6200 frames per second. An improved-Canny algorithm was developed to extract the combustion zones of a coal particle in both the volatile and char combustion phases. Using the improved-Canny and Otsu algorithms, the unburned part of the particle was identified in the volatile combustion phase. Characteristic parameters of coal particles, including the area, brightness, length, width and aspect ratio of volatile flame, and falling velocity, were derived from the processed images. The results obtained show that the volatile and char combustion took place successively and the volatile matter was combusted almost as soon as it was released. The particle travelled upward for around 14 ms during the early stage of combustion due to the influence of devolatilisation and volatile combustion. The particle also exhibited a slight difference in the rotation frequency at different combustion phases.

Citation

Qian, X., Li, F., Yan, Y., Lu, G., & Liu, H. (2021). Characterisation of the combustion behaviours of individual pulverised coal particles entrained by air using image processing techniques. Measurement Science and Technology, 32(3), Article 034005. https://doi.org/10.1088/1361-6501/abc2ea

• Journal Article Type: Article
• Acceptance Date: Oct 20, 2020
• Online Publication Date: Oct 20, 2020
• Publication Date: Mar 1, 2021
• Deposit Date: Oct 26, 2020
• Publicly Available Date: Oct 21, 2021
• Journal: Measurement Science and Technology
• Print ISSN: 0957-0233
• Electronic ISSN: 1361-6501
• Publisher: IOP Publishing
• Peer Reviewed: Peer Reviewed
• Volume: 32
• Issue: 3
• Article Number: 034005
• DOI: https://doi.org/10.1088/1361-6501/abc2ea
• Keywords: Instrumentation; Applied Mathematics
• Public URL: https://nottingham-repository.worktribe.com/output/4986590
• Publisher URL: https://iopscience.iop.org/article/10.1088/1361-6501/abc2ea
• Additional Information: This is the Accepted Manuscript version of an article accepted for publication in Measurement Science and Technology . IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at https://iopscience.iop.org/article/10.1088/1361-6501/abc2ea