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通过气态钠的原位光学测量研究准东燃煤锅炉的结渣状况

Investigation of Slagging Condition in a Zhundong Coal-Fired Boiler via In Situ Optical Measurement of Gaseous Sodium.

作者信息

Guo Li, Wang Haofan, Li Xian, Wang Xiangxi, Bie Nanxi, Yao Bin, Zhen Weijun, Li Jian, Lou Chun, Yao Hong

机构信息

Xinjiang Key Laboratory of Coal Clean Conversion & Chemical Engineering Process, School of Chemical Engineering and Technology, Xinjiang University, Urumqi 830002, China.

Research Institute of Measurement and Testing of Xinjiang Uygur Autonomous Region, Urumqi 830011, China.

出版信息

Sensors (Basel). 2024 Jan 12;24(2):488. doi: 10.3390/s24020488.

DOI:10.3390/s24020488
PMID:38257581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10820904/
Abstract

In this study, a portable spectral analysis instrument based on spontaneous emission spectroscopy (SES) was developed for the in situ, non-intrusive, and quantitative measurement of gaseous Na inside ZD coal-fired boilers, which is mainly applied for predicting slagging in furnaces. This technology is needed urgently because the problem of fouling and slagging caused by high alkali metals in ZD coal restricts the rational utilization of this coal. The relative extended uncertainty for the measurement of gaseous Na concentration is = 10%, = 2, which indicates that measurement data are reliable under working conditions. It was found that there is a clear linear relationship between the concentration of gaseous Na and fouling in high-alkali coal boilers. Therefore, a fast and efficient method for predicting the slagging and fouling of high-alkali coal boilers can be established by using this in situ online real-time optical measurement.

摘要

在本研究中，开发了一种基于自发发射光谱（SES）的便携式光谱分析仪，用于原位、非侵入式和定量测量ZD燃煤锅炉内的气态钠，主要用于预测炉膛结渣。由于ZD煤中高碱金属引起的结垢和结渣问题限制了该煤种的合理利用，因此迫切需要这项技术。气态钠浓度测量的相对扩展不确定度为 = 10%， = 2，这表明测量数据在工作条件下是可靠的。研究发现，高碱煤锅炉中气态钠浓度与结垢之间存在明显的线性关系。因此，利用这种原位在线实时光学测量方法，可以建立一种快速高效的预测高碱煤锅炉结渣和结垢的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ef/10820904/7e0237947b1e/sensors-24-00488-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ef/10820904/7e0237947b1e/sensors-24-00488-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ef/10820904/2d06923b1464/sensors-24-00488-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ef/10820904/ed2acdb90952/sensors-24-00488-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ef/10820904/7e0237947b1e/sensors-24-00488-g007.jpg

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本文引用的文献

1
Online determination of potassium and sodium release behaviour during single particle biomass combustion by FES and ICP-MS.通过 FES 和 ICP-MS 在线测定单颗粒生物质燃烧过程中钾和钠的释放行为。
Sci Total Environ. 2020 Dec 1;746:141162. doi: 10.1016/j.scitotenv.2020.141162. Epub 2020 Jul 22.
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Waste Manag. 2020 Feb 1;102:486-491. doi: 10.1016/j.wasman.2019.11.015. Epub 2019 Nov 19.
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