Guo, Ge, Yan, Yong, Zhang, Wenbiao, Hu, Yonghui, Fu, Guimei (2023) Measurement of moisture distribution in a biomass silo through electrical capacitance tomography. IEEE Transactions on Instrumentation & Measurement, 72 . ISSN 0018-9456. (doi:10.1109/tim.2023.3325524) (KAR id:103133)
PDF
Author's Accepted Manuscript
Language: English |
|
Download this file (PDF/2MB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: https://doi.org/10.1109/tim.2023.3325524 |
Abstract
The moisture distribution in stored biomass is a key factor in the self-heating and spontaneous combustion of biomass fuels. Measurement of moisture distribution in biomass fuels is thus essential for the safe operation of biomass-fired power plants. As a non-invasive imaging technique, electrical capacitance tomography (ECT) is proposed to measure the moisture distribution in stored wood pellets. The moisture distribution in different shapes and locations is measured on a laboratory-scale silo. Tomographic reconstruction algorithms are applied to obtain a visual representation of the moisture distribution. The relationship between the moisture content and effective permittivity of wood pellets is experimentally established. Experimental results demonstrate that ECT is capable of measuring the wet area ranging from 4% to 93% with a relative error of ±8%. The centroid position of the moisture distribution is measured with a relative error of ±5%. Meanwhile, the measured moisture content of the wet area has a relative error of ±10% over the range of 7.7%~16.4%.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1109/tim.2023.3325524 |
Additional information: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
Uncontrolled keywords: | Biomass; moisture distribution; electrical capacitance tomography; image reconstruction |
Subjects: |
T Technology T Technology > TA Engineering (General). Civil engineering (General) 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 |
Funders: | National Natural Science Foundation of China (https://ror.org/01h0zpd94) |
Depositing User: | Yong Yan |
Date Deposited: | 06 Oct 2023 15:59 UTC |
Last Modified: | 05 Nov 2024 13:09 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/103133 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):