Laser-Induced Breakdown Spectroscopy for Coal Characterization and Assessing Slagging Propensity
| Autor: | Carlos E. Romero, Zheng Yao, Arel Weisberg, Ricardo Moreno, Robert De Saro, Joseph Craparo |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Fusion
Power station business.industry Chemistry General Chemical Engineering technology industry and agriculture Analytical chemistry Energy Engineering and Power Technology Slag chemistry.chemical_element respiratory system complex mixtures Fuel Technology Fly ash visual_art visual_art.visual_art_medium Coal Laser-induced breakdown spectroscopy Spectroscopy business Carbon |
| Zdroj: | Energy & Fuels. 24:510-517 |
| ISSN: | 1520-5029 0887-0624 |
| DOI: | 10.1021/ef900873w |
| Popis: | 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 neural networks were used to characterize elemental composition of coal samples and estimate the initial deformation ash fusion temperature. A coal inventory was assembled with a range of slagging characteristics and fusion temperatures from 955 to 1480 °C. The following inorganic elements were measured in the laboratory: Al, Ca, K, Mg, Na, Fe, Si, and Ti, and correlated to coal ash initial deformation fusion temperature under reducing conditions. The LIBS system achieved elemental composition measurement accuracy within ±15% (absolute). The LIBS system was tested off-line at a power plant on three different coals. The field results indicate an average relative fusion temperature prediction error when compared to American Society for Test... |
| Databáze: | OpenAIRE |
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