Evaluating the accuracy of the Distributed Activation Energy Model for biomass devolatilization curves obtained at high heating rates

被引:48
作者
Soria-Verdugo, A. [1 ]
Garcia-Gutierrez, L. M.
Blanco-Cano, L.
Garcia-Hernando, N.
Ruiz-Rivas, U.
机构
[1] Univ Carlos III Madrid, E-28903 Getafe, Spain
关键词
Distributed Activation Energy Model; Devolatilization; Pyrolysis; Biomass conversion; Activation energy; Heating rate; KINETIC-PARAMETERS; PYROLYSIS; WOOD; NITROGEN; K(0)(E); WASTES; F(E);
D O I
10.1016/j.enconman.2014.06.074
中图分类号
O414.1 [热力学];
学科分类号
摘要
The characteristic parameters of devolatilization, the activation energy and the frequency factor, can be obtained following different experimental approaches. In the Distributed Activation Energy Model (DAEM), these parameters are derived from several TGA curves that are typically obtained for constant, low heating rate experiments. Then, the results are used to model high heating rate processes typical of industrial combustors. In this work, a wide range of heating rates were employed to obtain different TGA curves of the biomass pyrolysis, in order to analyse the validity of DAEM when extrapolating the kinetic parameters obtained for low heating rate curves used in the laboratory to higher heating rates present in industrial applications. The TGA curves of the biomass pyrolysis employed in DAEM were varied from low heating rates (around 10 K/min, values typically found in the literature on DAEM), to high heating rates (up to 200 K/min). The differences in the activation energy and the frequency factor obtained for different heating rates, were evaluated and the validity of the model was discussed. The results show differences between the activation energy and the frequency factor obtained using low and high heating rates during the TGA tests. Therefore, if an accurate approximation is required when extrapolating the data to high heating rates, the tests should be carried out at high heating rates. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1045 / 1049
页数:5
相关论文
共 28 条
[1]   New distributed activation energy model: Numerical solution and application to pyrolysis kinetics of some types of biomass [J].
Cai, Junmeng ;
Liu, Ronghou .
BIORESOURCE TECHNOLOGY, 2008, 99 (08) :2795-2799
[2]   Pattern search method for determination of DAEM kinetic parameters from nonisothermal TGA data of biomass [J].
Cai, Junmeng ;
Ji, Liqun .
JOURNAL OF MATHEMATICAL CHEMISTRY, 2007, 42 (03) :547-553
[3]   Weibull mixture model for Modeling nonisothermal kinetics of thermally stimulated solid-state reactions: Application to simulated and real kinetic conversion data [J].
Cai, Junmeng ;
Liu, Ronghou .
JOURNAL OF PHYSICAL CHEMISTRY B, 2007, 111 (36) :10681-10686
[4]   KINETIC PARAMETERS FROM THERMOGRAVIMETRIC DATA [J].
COATS, AW ;
REDFERN, JP .
NATURE, 1964, 201 (491) :68-&
[5]   Pyrolytic behavior and products of some wood varieties [J].
Di Blasi, C ;
Branca, C ;
Santoro, A ;
Hernandez, EG .
COMBUSTION AND FLAME, 2001, 124 (1-2) :165-177
[6]   Modeling of the devolatilization kinetics during pyrolysis of grape residues [J].
Fiori, Luca ;
Valbusa, Michele ;
Lorenzi, Denis ;
Fambri, Luca .
BIORESOURCE TECHNOLOGY, 2012, 103 (01) :389-397
[7]   Distributed activation energy model parameters of some Turkish coals [J].
Gunes, M. ;
Gunes, S. K. .
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2008, 30 (16) :1460-1472
[8]   Kinetic study of Chinese biomass slow pyrolysis: Comparison of different kinetic models [J].
Hu, Song ;
Jess, Andreas ;
Xu, Minhou .
FUEL, 2007, 86 (17-18) :2778-2788
[9]   Potential of synthesis gas production from rubber wood chip gasification in a bubbling fluidised bed gasifier [J].
Kaewluan, Sommas ;
Pipatmanomai, Suneerat .
ENERGY CONVERSION AND MANAGEMENT, 2011, 52 (01) :75-84
[10]   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