Higher heating value prediction of torrefaction char produced from non-woody biomass
Higher heating value prediction of torrefaction char produced from non-woody biomass作者机构:Department of Mechanical Engineering Faculty of Engineering and Industrial Technology Silpakom University Nakhon Pathom 73000 Thailand
出 版 物:《Frontiers in Energy》 (能源前沿(英文版))
年 卷 期:2015年第9卷第4期
页 面:461-471页
核心收录:
学科分类:12[管理学] 081702[工学-化学工艺] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0817[工学-化学工程与技术] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by the Energy Policy and Planning Office Ministry of Energy Thailand
主 题:higher heating value correlation biomass,proximate analysis ultimate analysis
摘 要:The higher heating value of five types of non- woody biomass and their torrefaction char was predicted and compared with the experimental data obtained in this paper. The correlation proposed in this paper and the ones suggested by previous researches were used for prediction. For prediction using proximate analysis data, the mass fraction of fixed carbon and volatile matter had a strong effect on the higher heating value prediction oftorrefaction char of non-woody biomass. The high ash fraction found in torrefied char resulted in a decrease in prediction accuracy. However, the prediction could be improved by taking into account the effect of ash fraction. The correlation developed in this paper gave a better prediction than the ones suggested by previous researches, and had an absolute average error (AAE) of 2.74% and an absolute bias error (ABE) of 0.52%. For prediction using elemental analysis data, the mass fraction of carbon, hydrogen, and oxygen had a strong effect on the higher heating value, while no relationship between the higher heating value and mass fractions of nitrogen and sulfur was discovered. The best correlation gave an AAE of 2.28% and an ABE of 1.36%.