Qian, X. and Yan, Y. and Shao, J.Q. and Zhou, H. and Wang, C. (2012) Quantitative characterization of Pulverized Coal and Biomass-Coal Blends in Pneumatic Conveying Pipelines using Electrostatic Sensor Arrays and Data Fusion Techniques. Measurement Science and Technology, 23 (8). 085307-085319. ISSN 0957-0233 .
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Quantitative data about the dynamic behaviour of pulverized coal and biomass–coal blends in fuel injection pipelines allow power plant operators to detect variations in fuel supply and oscillations in the flow at an early stage, enable them to balance fuel distribution between fuel feeding pipes and ultimately to achieve higher combustion efficiency and lower greenhouse gas emissions. Electrostatic sensor arrays and data fusion algorithms are combined to provide a non-intrusive solution to the measurement of fuel particle velocity, relative solid concentration and flow stability under pneumatic conveying conditions. Electrostatic sensor arrays with circular and arc-shaped electrodes are integrated in the same sensing head to measure 'averaged' and 'localized' characteristics of pulverized fuel flow. Data fusion techniques are applied to optimize and integrate the results from the sensor arrays. Experimental tests were conducted on the horizontal section of a 150 mm bore pneumatic conveyor circulating pulverized coal and sawdust under various flow conditions. Test results suggest that pure coal particles travel faster and carry more electrostatic charge than biomass–coal blends. As more biomass particles are added to the flow, the overall velocity of the flow reduces, the electrostatic charge level on particles decreases and the flow becomes less stable compared to the pure coal flow.
|Uncontrolled keywords:||pulverized coal, biomass-coal flow, pneumatic conveying, flow measurement, particle velocity, cross correlation, electrostatic sensor, data fusion|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General) > TA166 Instrumentation|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems|
|Depositing User:||Jenny Harries|
|Date Deposited:||17 Aug 2012 14:14|
|Last Modified:||06 Sep 2012 14:49|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/30189 (The current URI for this page, for reference purposes)|
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