Research on regression model of pulverized coal ignition temperature

被引：0
|
作者：
Gou, Xiang [1 ,2 ]
Zhou, Junhu [1 ]
Liu, Jianzhong [1 ]
Cen, Kefa [1 ]
机构：
[1] Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
[2] Hebei Univ Technol, Sch Energy & Environm Engn, Tianjin 300401, Peoples R China
来源：
ENERGY EDUCATION SCIENCE AND TECHNOLOGY PART A-ENERGY SCIENCE AND RESEARCH | 2011年 / 28卷 / 01期
关键词：
Regression model; Pulverized coal; Ignition temperature; Prediction; ENERGY SAVINGS; EXTERNAL WALL; PERFORMANCE; BIODIESEL; BIOFUELS; SYSTEMS; COMBUSTION; PARAMETERS; PYROLYSIS; BEHAVIOR;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This study has developed several multivariate regression models to forecast pulverized coal ignition temperature based on plenty of pulverized coal ignition experiments by using coal property parameters from proximate analysis and calorific value. Comparing the models a satisfied model with high accuracy has been achieved. It has been found that multivariate regression method is useful and accurate for establishing ignition temperature calculation formula. The optimum model can be used to predict pulverized coal ignition temperature and determine coal ignition characteristics.
引用
收藏
页码：143 / 150
页数：8
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