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Flow measurement of pneumatically conveyed biomass and coal particles using multi-channel electrostatic sensors

Qian, Xiangchen and Malmgren, A. and Yan, Yong (2011) Flow measurement of pneumatically conveyed biomass and coal particles using multi-channel electrostatic sensors. In: 2011 IEEE International Instrumentation and Measurement Technology Conference. IEEE, pp. 1428-1433. ISBN 978-1-4244-7933-7. E-ISBN 978-1-4244-7935-1. (doi:10.1109/IMTC.2011.5944180) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:37107)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/IMTC.2011.5944180

Abstract

Key parameters such as particle velocity and concentration of biomass-coal flow in fuel injection pipelines are useful to power plant operators to detect fuel supply problems at an early stage. This paper presents the use of a multi-channel electrostatic sensor with circular and arc-shaped electrodes for the on-line, continuous measurement of "local" and "mean" characteristics of the biomass-coal mixture flow. Experimental tests were conducted on a laboratory-scale particle flow test rig under various flow conditions. The results suggest that, due to physical differences between biomass and coal particles, the characteristics of the flow depend on the biomass proportion in the mixture. It is found that pure coal particles travel faster and carry more electrostatic charge than those of pure biomass particles. As more biomass is added to the coal flow, the overall velocity of the flow slows down, the electrostatic charge level decreases, and the flow becomes less stable compared to the pure coal flow.

Item Type: Book section
DOI/Identification number: 10.1109/IMTC.2011.5944180
Uncontrolled keywords: biomass-coal flow; cross-correlation; electrostatic sensor; pulverised fuel; velocity measurement
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 02 Dec 2013 15:00 UTC
Last Modified: 16 Nov 2021 10:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/37107 (The current URI for this page, for reference purposes)

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