Pyrolysis characteristics of cattle manures using a discrete distributed activation energy model

被引:85
作者
Cao, Hongliang [1 ]
Xin, Ya [1 ]
Wang, Dianlong [1 ]
Yuan, Qiaoxia [1 ]
机构
[1] Huazhong Agr Univ, Coll Engn, Wuhan 430070, Peoples R China
关键词
Cattle manures; Pyrolysis; Distributed activation energy model; Thermogravimetric analysis; Model prediction; SEWAGE-SLUDGE; DAIRY MANURE; BIOMASS; KINETICS; DEVOLATILISATION; COMBUSTION; EMISSIONS; WOOD;
D O I
10.1016/j.biortech.2014.09.049
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The pyrolysis characteristics of cattle manures were conducted using a discrete distributed activation energy model (DAEM) coupled with the thermogravimetric analysis. The results showed that the pyrolysis process can be accurately characterized by 27 dominating reactions, and the dominating reactions form four groups to represent respectively the decomposition processes of the different constituents of cattle manures. Moreover, the devolatilization kinetics under the heating rate changing from 0.1 K min(-1) to 10,000 K min(-1) were predicted with the discrete DAEM. Prediction results demonstrated that with increasing the heating rate, the main decomposition regions of individual constituent become more and more concentration and their interactions are more and more complex. Particularly, it was interesting to discover that the peak decomposition rate is perfectly proportional to the heating rate, and the peak, starting and ending decomposition temperatures satisfy a relationship of quadratic function with the common logarithm of the heating rate. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:219 / 225
页数:7
相关论文
共 34 条
[1]   Current technologies for analysis of biomass thermochemical processing: A review [J].
Bahng, Mi-Kyung ;
Mukarakate, Calvin ;
Robichaud, David J. ;
Nimlos, Mark R. .
ANALYTICA CHIMICA ACTA, 2009, 651 (02) :117-138
[2]   Pyrolysis kinetics of almond shells and olive stones considering their organic fractions [J].
Caballero, JA ;
Conesa, JA ;
Font, R ;
Marcilla, A .
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS, 1997, 42 (02) :159-175
[3]   An overview of distributed activation energy model and its application in the pyrolysis of lignocellulosic biomass [J].
Cai, Junmeng ;
Wu, Weixuan ;
Liu, Ronghou .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 36 :236-246
[4]   A distributed activation energy model for the pyrolysis of lignocellulosic biomass [J].
Cai, Junmeng ;
Wu, Weixuan ;
Liu, Ronghou ;
Huber, George W. .
GREEN CHEMISTRY, 2013, 15 (05) :1331-1340
[5]   Thermogravimetric analysis as a new method to determine the lignocellulosic composition of biomass [J].
Carrier, Marion ;
Loppinet-Serani, Anne ;
Denux, Dominique ;
Lasnier, Jean-Michel ;
Ham-Pichavant, Frederique ;
Cansell, Francois ;
Aymonier, Cyril .
BIOMASS & BIOENERGY, 2011, 35 (01) :298-307
[7]   The kinetics of the pyrolysis or devolatilisation of sewage sludge and other solid fuels [J].
Hayhurst, Allan N. .
COMBUSTION AND FLAME, 2013, 160 (01) :138-144
[8]   A sequential method to analyze the kinetics of biomass pyrolysis [J].
Huang, Y. F. ;
Kuan, W. H. ;
Chiueh, P. T. ;
Lo, S. L. .
BIORESOURCE TECHNOLOGY, 2011, 102 (19) :9241-9246
[9]   Application of the distributed activation energy model to the kinetic study of pyrolysis of the fresh water algae Chlorococcum humicola [J].
Kirtania, Kawnish ;
Bhattacharya, Sankar .
BIORESOURCE TECHNOLOGY, 2012, 107 :476-481
[10]   Analysis of coals and biomass pyrolysis using the distributed activation energy model [J].
Li, Zhengqi ;
Liu, Chunlong ;
Chen, Zhichao ;
Qian, Juan ;
Zhao, Wei ;
Zhu, Qunyi .
BIORESOURCE TECHNOLOGY, 2009, 100 (02) :948-952