Measurement of Moisture Distribution in a Biomass Silo Based on Electrical Capacitance Tomography

被引：1

作者：

Guo, Ge ^{[1
]}

Yan, Yong ^{[2
]}

Zhang, Wenbiao ^{[1
]}

Hu, Yonghui ^{[1
]}

Fu, Guimei ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China

[2] Univ Kent, Sch Engn, Canterbury CT2 7NT, Kent, England

来源：

2023 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, I2MTC | 2023年

关键词：

Biomass; moisture distribution; electrical capacitance tomography; image reconstruction; DIELECTRIC-CONSTANT; OPTIMIZATION;

D O I：

10.1109/I2MTC53148.2023.10176094

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The self-heating and spontaneous combustion of biomass fuels are important issues related to the safe operation of biomass fired power plants. In order to acquire timely and reliable predictive information of biomass fuels, it is necessary to measure the moisture distribution of a biomass silo on an online basis. However, there is limited research on related techniques, especially measurement of moisture distribution in a biomass silo. In this paper, electrical capacitance tomography (ECT) is used to measure moisture distribution. Eight capacitive electrodes are deployed in an octagonal silo. Moisture distribution is measured, based on the non-intrusive measurements of electrical capacitances between the electrodes mounted on the octagonal silo. Some image reconstruction algorithms are used to reconstruct moisture distribution. Experimental results demonstrate that ECT is capable of measuring wet area in a biomass silo, which accounts for 4% similar to 81% within a relative error of +/- 10%.

引用

页数：5

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