摘要
在2009—2012年期间对山东地区众多燃煤电厂1 898个煤质样本进行了工业分析和发热量的测定,统计水分、灰分、挥发分及固定碳等指标的分布情况,在利用SPSS分析各指标与发热量的相关性基础上,进行逐步回归分析得出了计算规律,找到了一种简单可行的燃煤电厂煤质发热量预测方法。
During 2009-2012,proximate analysis and calorific value determination of 1 898 coal samples were carried out in this study ,which were collected from many coal-fired power plants in Shandong area.Statistical distributions of such indexes as moisture, ash, volatile matter and fixed carbon were described respectively.On the basis of correlation tests between the indexes and calorific value of the coal samples by means of SPSS,stepwise regression analysis was also carried out,so valuable calculation rules were acquired and that could be used as simple and feasible coal calorific value prediction methods for coalfired power plants.
出处
《山东电力技术》
2014年第3期69-73,77,共6页
Shandong Electric Power
关键词
工业分析
发热量
相关性
SPSS
回归分析
proximate analysis
calorific value
correlation
SPSS
stepwise regression
