灰色系统在电厂锅炉结渣特性研究中的应用

Chen Qi-hua, Yan Xiao-zhong, Jiang Jian-xun, Sun Guo-chao
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引用次数: 0

摘要

针对影响煤灰结渣性能的模糊性、多样性等不确定性问题,结合模糊TOPSIS法,将灰色聚类决策应用于发电煤结渣性能的评价。本文对13种发电煤的T2、SiO2/Al2O3、B/A、G(Si率)4项指标进行了评价,将结渣等级分为无结渣、轻度结渣、中度结渣和严重结渣4个等级。得出了煤结渣程度的等级标准值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Gray System in Boiler Slagging Properties in Power Plant
Contraposing the indeterminable problems such as fuzziness and diversification which influenced the slagging of coal ash, grey cluster decision was applied in evaluating the slagging properties of the power generation coal in the paper, combined with the fuzzy TOPSIS method. In the paper, the four indexes of T2, SiO2/Al2O3, B/A, G(the rate of Si) of 13 kinds of power generation coal were evaluated, the grade of slagging was divided into four grades which were non-slagging, slightly slagging, medium slagging and serious slagging. Then the grade standard value of coal slagging degree was obtained.
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