Qian, Xiangchen, Huang, Xiaobin, Yonghui, Hu, Yan, Yong (2014) Pulverized coal flow metering on a full-scale power plant using electrostatic sensor arrays. Flow Measurement and Instrumentation, 40 . pp. 185-191. ISSN 0955-5986. (doi:10.1016/j.flowmeasinst.2014.06.001) (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:45829)
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/10.1016/j.flowmeasinst.2014.06.0... |
Abstract
On-line continuous monitoring of pulverized coal in fuel injection pipes will allow power plant operators to optimize fuel conveying conditions and ultimately to achieve higher combustion efficiency and lower atmospheric emissions. This paper presents the design, implementation and trials of a prototype instrumentation system for the on-line measurement of pulverized coal on a full-scale power plant. An array of three identical arc-shaped electrostatic electrodes is housed in a sensing head to derive particle flow signals. Pulverized coal flow parameters such as velocity, mass flow rate and fuel distribution among the injection pipes from the same pulverizing mill are obtained by processing the signals and fusing the resulting measurements. On-plant demonstration trials on 560 mm bore pneumatic conveying pipes feeding a 600 MW boiler were undertaken following system evaluation tests on a 50 mm bore laboratory test rig. Experimental results demonstrate that reliable monitoring of pulverized coal flow parameters is achieved and that the system is able to track both transient and long-term fluctuations of pulverized coal flow in fuel injection pipes under real power plant conditions.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.flowmeasinst.2014.06.001 |
Uncontrolled keywords: | Pulverized coal; Gas–solid two-phase flow; Particle velocity; Mass flow rate; Fuel distribution; Electrostatic sensor; Cross-correlation |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Tina Thompson |
Date Deposited: | 09 Dec 2014 12:03 UTC |
Last Modified: | 05 Nov 2024 10:29 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/45829 (The current URI for this page, for reference purposes) |
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