Kinetic model and parameters study of lignocellulosic biomass oxidative pyrolysis

被引：47
作者：
Ding, Yanming [1 ,2 ]
Huang, Biqing [1 ]
Wu, Chuanbao [3 ]
He, Qize [4 ]
Lu, Kaihua [1 ]
机构：
[1] China Univ Geosci, Fac Engn, Wuhan 430074, Hubei, Peoples R China
[2] China Univ Min & Technol, State Key Lab Coal Resources & Safe Min, Xuzhou 221116, Jiangsu, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Econ & Management, Qingdao 266590, Shandong, Peoples R China
[4] Shanghai Fire Res Inst MEM, Shanghai 200032, Peoples R China
来源：
ENERGY | 2019年 / 181卷
基金：
中国国家自然科学基金;
关键词：
Lignocellulosic biomass; Kinetic model; Oxidative pyrolysis; Optimization; BENCH-SCALE PYROLYSIS; THERMAL-DECOMPOSITION; THERMOGRAVIMETRIC ANALYSIS; OPTIMIZATION SCHEMES; GENETIC ALGORITHM; CO-PYROLYSIS; DEGRADATION; BEHAVIOR; COMBUSTION; BLENDS;
D O I：
10.1016/j.energy.2019.05.148
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
The oxidative pyrolysis of lignocellulosic biomass was investigated based on thermogravimetric experiment compared with the purely non-oxidative pyrolysis. An updated oxidative kinetic model is proposed by importing three oxidative proportion parameters (lambda(1), lambda(2), lambda(3)) for hemicellulose, cellulose and lignin as the direct extension of previous three-component parallel non-oxidative pyrolysis model. The total of extra 23 oxidative kinetic parameters was obtained by the Shuffled Complex Evolution method and they were applied to further predict the mass distribution of the above three main components. The predicted results proved the oxidative mechanism of biomass: the first stage is caused by the decomposition of hemicellulose and cellulose and partially decomposition of lignin, and the second stage is resulted from both the decomposition of the remaining lignin and char combustion. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码：11 / 17
页数：7
相关论文
共 39 条
[1]   Application of real valued genetic algorithm on prediction of higher heating values of various lignocellulosic materials using lignin and extractive contents [J].
Akdeniz, Fikret ;
Bicil, Metin ;
Karadede, Yusuf ;
Ozbek, Fureya Elif ;
Ozdemir, Gultekin .
ENERGY, 2018, 160 :1047-1054
[2]   Kinetic study of lignocellulosic biomass oxidative pyrolysis [J].
Amutio, Maider ;
Lopez, Gartzen ;
Aguado, Roberto ;
Artetxe, Maite ;
Bilbao, Javier ;
Olazar, Martin .
FUEL, 2012, 95 (01) :305-311
[3]   Kinetic study for the thermal decomposition of cellulose and pine sawdust in an air atmosphere [J].
Bilbao, R ;
Mastral, JF ;
Aldea, ME ;
Ceamanos, J .
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS, 1997, 39 (01) :53-64
[4]   Thermogravimetric analysis and kinetics of coal/plastic blends during co-pyrolysis in nitrogen atmosphere [J].
Cai, Junqing ;
Wang, Yiping ;
Zhou, Limin ;
Huang, Qunwu .
FUEL PROCESSING TECHNOLOGY, 2008, 89 (01) :21-27
[5]   Effect of air flowrate on pollutant dispersion pattern of coal dust particles at fully mechanized mining face based on numerical simulation [J].
Cai, Peng ;
Nie, Wen ;
Chen, Dawei ;
Yang, Shibo ;
Liu, Zhiqiang .
FUEL, 2019, 239 :623-635
[6]   Evaluation of optimization schemes and determination of solid fuel properties for CFD fire models using bench-scale pyrolysis tests [J].
Chaos, Marcos ;
Khan, Mohammed M. ;
Krishnamoorthy, Niveditha ;
de Ris, John L. ;
Dorofeev, Sergey B. .
PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2011, 33 :2599-2606
[7]   Pyrolysis kinetics and mechanism of typical industrial non-tyre rubber wastes by peak-differentiating analysis and multi kinetics methods [J].
Chen, Ruiyu ;
Li, Quanwei ;
Zhang, Yang ;
Xu, Xiaokang ;
Zhang, Dongdong .
FUEL, 2019, 235 :1224-1237
[8]   A state-of-the-art review of biomass torrefaction, densification and applications [J].
Chen, Wei-Hsin ;
Peng, Jianghong ;
Bi, Xiaotao T. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 44 :847-866
[9]   THE THERMOGRAVIMETRIC BEHAVIOR OF COAL [J].
CUMMING, JW ;
MCLAUGHLIN, J .
THERMOCHIMICA ACTA, 1982, 57 (03) :253-272
[10]  
De Wild PJ, 2009, INT J CHEM REACT ENG, V7, P1
1234