Kinetic analysis of biomass pyrolysis using a double distributed activation energy model

Journal of Thermal Analysis and Calorimetry

Volumn 121, Issue 3, 2015, Pages 1403-1410

  De Caprariis, Benedetta ^a   Santarelli, Maria Laura ^a   Scarsella, Marco ^a   Herce, Carlos ^b   Verdone, Nicola ^a   De Filippis, Paolo ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

Biomass pyrolysis kinetics; Distributed activation energy model; Olive residue; Pyrolysis; Thermogravimetric analysis

Indexed keywords

ACTIVATION ANALYSIS; BIOMASS; CELLULOSE; CHEMICAL ACTIVATION; KINETIC PARAMETERS; KINETICS; PYROLYSIS; THERMOGRAVIMETRIC ANALYSIS;

BIOMASS PYROLYSIS; DIFFERENT DISTRIBUTIONS; DISTRIBUTED ACTIVATION ENERGY MODEL; GAUSSIAN DISTRIBUTED; OLIVE RESIDUES; PREEXPONENTIAL FACTOR; PRODUCTS OF REACTION; THERMO CHEMICAL PROCESS;

ACTIVATION ENERGY;

EID: 84939466341     PISSN: 13886150     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10973-015-4665-2     Document Type: Article

References (38)

1. Mohan D, Pittman CU, Steele PH. Pyrolysis of wood/biomass for bio-oil: a critical review. Energy Fuels. 2006;20(3):848-89. doi: 10.1021/ef0502397.
2. Kader MA, Islam MR, Parveen M, Haniu H, Takai K. Pyrolysis decomposition of tamarind seed for alternative fuel. Bioresour Technol. 2013;149:1-7. doi: 10.1016/j.biortech.2013.09.032.
3. Ion I, Popescu F, Rolea G. A biomass pyrolysis model for CFD application. J Therm Anal Calorim. 2013;111(3):1811-5. doi: 10.1007/s10973-012-2552-7.
4. Cai J, Liu R. New distributed activation energy model: numerical solution and application to pyrolysis kinetics of some types of biomass. Bioresour Technol. 2008;99(8):2795-9. doi: 10.1016/j.biortech.2007.06.033.
5. Bates RB, Ghoniem AF. Biomass torrefaction: modeling of volatile and solid product evolution kinetics. Bioresour Technol. 2012;124:460-9. doi: 10.1016/j.biortech.2012.07.018.
6. Pitt G. The kinetics of the evolution of volatile products from coal. Fuel. 1962;41(3):267-74.
7. Ma F, Zeng Y, Wang J, Yang Y, Yang X, Zhang X. Thermogravimetric study and kinetic analysis of fungal pretreated corn stover using the distributed activation energy model. Bioresour Technol. 2013;128:417-22. doi: 10.1016/j.biortech.2012.10.144.
8. Li Z, Liu C, Chen Z, Qian J, Zhao W, Zhu Q. Analysis of coals and biomass pyrolysis using the distributed activation energy model. Bioresour Technol. 2009;100(2):948-52. doi: 10.1016/j.biortech.2008.07.032.
9. Trninić M, Wang L, Várhegyi G, Grønli M, Skreiberg Ø. Kinetics of corncob pyrolysis. Energy Fuels. 2012;26(4):2005-13. doi: 10.1021/ef3002668.
10. Li C, Suzuki K. Kinetic analyses of biomass tar pyrolysis using the distributed activation energy model by TG/DTA technique. J Therm Anal Calorim. 2009;98(1):261-6. doi: 10.1007/s10973-009-0151-z.
11. Li L, Wang G, Wang S, Qin S. Thermogravimetric and kinetic analysis of energy crop Jerusalem artichoke using the distributed activation energy model. J Therm Anal Calorim. 2013;114(3):1183-9. doi: 10.1007/s10973-013-3115-2.
12. Cheng Z, Wu W, Ji P, Zhou X, Liu R, Cai J. Applicability of Fraser-Suzuki function in kinetic analysis of DAEM processes and lignocellulosic biomass pyrolysis processes. J Therm Anal Calorim. 2015;119(2):1429-38.
13. Zhu X, Chen Z, Xiao B, Hu Z, Hu M, Liu C, et al. Co-pyrolysis behaviors and kinetics of sewage sludge and pine sawdust blends under non-isothermal conditions. J Therm Anal Calorim. 2014;. doi: 10.1007/s10973-014-4321-2.
14. Albis A, Ortiz E, Suárez A, Piñeres I. TG/MS study of the thermal devolatilization of Copoazú peels (Theobroma grandiflorum). J Therm Anal Calorim. 2014;115(1):275-83. doi: 10.1007/s10973-013-3227-8.
15. Wu W, Mei Y, Zhang L, Liu R, Cai J. Effective activation energies of lignocellulosic biomass pyrolysis. Energy Fuels. 2014;28(6):3916-23.
16. Soria-Verdugo A, Garcia-Gutierrez LM, Blanco-Cano L, Garcia-Hernando N, Ruiz-Rivas U. Evaluating the accuracy of the distributed activation energy model for biomass devolatilization curves obtained at high heating rates. Energy Convers Manag. 2014;86:1045-9.
17. Anthony DB, Howard JB. Coal devolatilization and hydrogastification. AIChE J. 1976;22(4):625-56. doi: 10.1002/aic.690220403.
18. Cai JM, Liu RH. Parametric study of the nonisothermal n th-order distributed activation energy model involved the Weibull distribution for biomass pyrolysis. J Therm Anal Calorim. 2007;89(3):971-5. doi: 10.1007/s10973-006-8266-y.
19. Boudreau BP, Ruddick BR. On a reactive continuum representation of organic matter diagenesis. Am J Sci. 1991;291(5):507-38.
20. Burnham AK, Braun RL. Global kinetic analysis of complex materials. Energy Fuels. 1998;13(1):1-22. doi: 10.1021/ef9800765.
21. Lakshmanan CC, Bennett ML, White N. Implications of multiplicity in kinetic parameters to petroleum exploration. Distributed activation energy models. Energy Fuels. 1991;5(1):110-7.
22. Holstein A, Bassilakis R, Wójtowicz MA, Serio MA. Kinetics of methane and tar evolution during coal pyrolysis. Proc Combust Inst. 2005;30(2):2177-85. doi: 10.1016/j.proci.2004.08.231.
23. Sluiter A, Ruiz R, Scarlata C, Sluiter J, Templeton D, Crocker D. Determination of extractives in biomass. Laboratory Analytical Procedure (LAP), NREL/TP-510-42619. National Renewable Laboratory, Golden, CO. 2005.
24. Cai J, Wu W, Liu R. Sensitivity analysis of three-parallel-DAEM-reaction model for describing rice straw pyrolysis. Bioresour Technol. 2013;132:423-6. doi: 10.1016/j.biortech.2012.12.073.
25. Sarvaramini A, Assima GP, Larachi F. Dry torrefaction of biomass: torrefied products and torrefaction kinetics using the distributed activation energy model. Chem Eng J. 2013;229:498-507.
26. Liu Q, Zhong Z, Wang S, Luo Z. Interactions of biomass components during pyrolysis: a TG-FTIR study. J Anal Appl Pyrolysis. 2011;90(2):213-8. doi: 10.1016/j.jaap.2010.12.009.
27. De Caprariis B, De Filippis P, Herce C, Verdone N. Double-gaussian distributed activation energy model for coal devolatilization. Energy Fuels. 2012;26(10):6153-9.
28. Várhegyi G, Chen H, Godoy S. Thermal decomposition of wheat, oat, barley, and Brassica carinata straws: a kinetic study. Energy Fuels. 2009;23(2):646-52. doi: 10.1021/ef800868k.
29. Zhang J, Chen T, Wu J, Wu J. Multi-Gaussian-DAEM-reaction model for thermal decompositions of cellulose, hemicellulose and lignin: comparison of N2 and CO2 atmosphere. Bioresour Technol. 2014;166:87-95. doi: 10.1016/j.biortech.2014.05.030.
30. Várhegyi G, Bobály B, Jakab E, Chen H. Thermogravimetric study of biomass pyrolysis kinetics. a distributed activation energy model with prediction tests. Energy Fuels. 2010;25(1):24-32. doi: 10.1021/ef101079r.
31. Brun R, Rademakers F. ROOT: an object oriented data analysis framework. Nucl Instrum Methods Phys Res Sect A. 1997;389(1-2):81-6.
32. Di Blasi C, Signorelli G, Di Russo C, Rea G. Product distribution from pyrolysis of wood and agricultural residues. Ind Eng Chem Res. 1999;38(6):2216-24. doi: 10.1021/ie980711u.
33. Uzun BB, Pütün AE, Pütün E. Composition of products obtained via fast pyrolysis of olive-oil residue: effect of pyrolysis temperature. J Anal Appl Pyrolysis. 2007;79(1-2):147-53. doi: 10.1016/j.jaap.2006.12.005.
34. Brown ME, Galwey AK. The significance of "compensation effects" appearing in data published in "computational aspects of kinetic analysis": ICTAC project, 2000. Thermochim Acta. 2002;387(2):173-83.
35. Strezov V, Lucas JA, Evans TJ, Strezov L. Effect of heating rate on the thermal properties and devolatilisation of coal. J Therm Anal Calorim. 2004;78(2):385-97.
36. Vyazovkin S, Burnham AK, Criado JM, Pérez-Maqueda LA, Popescu C, Sbirrazzuoli N. ICTAC Kinetics Committee recommendations for performing kinetic computations on thermal analysis data. Thermochim Acta. 2011;520(1-2):1-19.
37. Yang H, Yan R, Chen H, Lee DH, Zheng C. Characteristics of hemicellulose, cellulose and lignin pyrolysis. Fuel. 2007;86(12-13):1781-8. doi: 10.1016/j.fuel.2006.12.013.
38. Granada E, Eguía P, Comesaña JA, Patiño D, Porteiro J, Miguez JL. Devolatilization behaviour and pyrolysis kinetic modelling of Spanish biomass fuels. J Therm Anal Calorim. 2013;113(2):569-78. doi: 10.1007/s10973-012-2747-y.