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时间:2012-11-26 14:28:18  来源:机电学院  作者:

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【主 题】:Using Laser Induced Breakdown Spectroscopy for Coal Characterization in Coal-Fired Power Plants激光诱导击穿光谱在燃煤电厂煤特性研究方面的应用
 
【主讲人】:Carlos Romero 教授,美国里海大学能源研究中心副主任、首席科学家
 
【时 间】:2012年11月27日(星期二)下午14:30-16:30
 
【地 点】:机械工程楼九层活动室
 
【主 办】:研究生工作部
 
【承 办】:机电学院
 
【主讲人简介】:
Dr. Carlos Romero is an Associate Director and Principal Research Scientist at the Energy Research Center, Lehigh University. Dr. Romero has over twenty-five years of experience in power generation, coal and combustion research. His research interests are in the areas of chemical kinetics and applied combustion, emissions control and performance improvement for power plants, instrumentation and control to the power industry. He has participated in research projects for electrical utilities in the U.S., Canada, Mexico, Europe and China. Dr. Romero has written more than 250 journal publications, conference papers and technical reports, and a U.S. Patent. His teaching interests are in the areas of combustion, thermo-fluids engineering and power generation technologies.
 
【讲座简介】:
Coal characterization and prediction of slagging behavior has reached great relevance for coal-fired power plant operators. Especially, for units subject to large fuel quality variability, fuel switching and coal blending. Laser-Induced Breakdown Spectroscopy (LIBS) and Artificial Intelligence (AI) were used in the development of an on-line system for in-situ coal characterization. Demonstration of the system was carried out at several US power plants to measure elemental composition of the coal supply, heating value and ash fusion temperature with great measurement repeatability and accuracy.
(煤粉特性及其结渣行为的预测与燃煤电厂的运行性能有着很大的关联。当机组需要更换燃料或需要配煤时更是如此。激光诱导击穿光谱技术和人工智能方法可以应用在原煤特性的在线系统研究上。报告将介绍美国的几所电厂应用该系统测量煤粉的元素组成,热值以及灰熔融温度,并展示系统的可重复性和准确性。)
 
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