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Volumn 102, Issue 4, 2011, Pages 3894-3899

A critical study of the Miura-Maki integral method for the estimation of the kinetic parameters of the distributed activation energy model

Author keywords

Activation energy distribution; Biomass; Frequency factor; Nonisothermal kinetics; Pyrolysis

Indexed keywords

ACTIVATION ENERGY DISTRIBUTION; B VALUE; DISTRIBUTED ACTIVATION ENERGY MODEL; FREQUENCY FACTORS; INTEGRAL METHOD; MEAN VALUES; NON-ISOTHERMAL KINETIC; SIMULATED DATA; STANDARD DEVIATION;

EID: 78651515145     PISSN: 09608524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biortech.2010.11.110     Document Type: Article
Times cited : (47)

References (30)
  • 1
    • 46549089322 scopus 로고    scopus 로고
    • Kinetic and mechanism of Tarfaya (Morocco) oil shale and LDPE mixture pyrolysis
    • Aboulkas A., Elharfi K., Elbouadili A. Kinetic and mechanism of Tarfaya (Morocco) oil shale and LDPE mixture pyrolysis. J. Mater. Process Technol. 2008, 206:16-24.
    • (2008) J. Mater. Process Technol. , vol.206 , pp. 16-24
    • Aboulkas, A.1    Elharfi, K.2    Elbouadili, A.3
  • 2
    • 0032761832 scopus 로고    scopus 로고
    • Global kinetic analysis of complex materials
    • Burnham A.K., Braun R.L. Global kinetic analysis of complex materials. Energy Fuels 1999, 13:1-12.
    • (1999) Energy Fuels , vol.13 , pp. 1-12
    • Burnham, A.K.1    Braun, R.L.2
  • 3
    • 10944221311 scopus 로고    scopus 로고
    • A distributed activation energy model of thermodynamically inhibited nucleation and growth reactions and its application to the β-δ phase transition of HMX
    • Burnham A.K., Weese R.K., Weeks B.L. A distributed activation energy model of thermodynamically inhibited nucleation and growth reactions and its application to the β-δ phase transition of HMX. J. Phys. Chem. B 2004, 108:19432-19441.
    • (2004) J. Phys. Chem. B , vol.108 , pp. 19432-19441
    • Burnham, A.K.1    Weese, R.K.2    Weeks, B.L.3
  • 4
    • 78650696328 scopus 로고    scopus 로고
    • Logistic distributed activation energy model - part 1: derivation and numerical parametric study. Bioresour. Technol. doi:10.1016/j.biortech.2010.08.079.
    • Cai, J., Jin, C., Yang, S., Chen, Y., 2010a. Logistic distributed activation energy model - part 1: derivation and numerical parametric study. Bioresour. Technol. doi:10.1016/j.biortech.2010.08.079.
    • (2010)
    • Cai, J.1    Jin, C.2    Yang, S.3    Chen, Y.4
  • 5
    • 34548386122 scopus 로고    scopus 로고
    • Parametric study of the nonisothermal nth-order distributed activation energy model involved the Weibull distribution for biomass pyrolysis
    • Cai J.M., Liu R.H. Parametric study of the nonisothermal nth-order distributed activation energy model involved the Weibull distribution for biomass pyrolysis. J. Therm. Anal. Calorim. 2007, 89:971-975.
    • (2007) J. Therm. Anal. Calorim. , vol.89 , pp. 971-975
    • Cai, J.M.1    Liu, R.H.2
  • 6
    • 34548382614 scopus 로고    scopus 로고
    • Pattern search method for determination of DAEM kinetic parameters from nonisothermal TGA data of biomass
    • Cai J., Ji L. Pattern search method for determination of DAEM kinetic parameters from nonisothermal TGA data of biomass. J. Math. Chem. 2007, 42:547-553.
    • (2007) J. Math. Chem. , vol.42 , pp. 547-553
    • Cai, J.1    Ji, L.2
  • 7
    • 34848894222 scopus 로고    scopus 로고
    • Weibull mixture model for modeling nonisothermal kinetics of thermally stimulated solid-state reactions: application to simulated and real kinetic conversion data
    • Cai J., Liu R. Weibull mixture model for modeling nonisothermal kinetics of thermally stimulated solid-state reactions: application to simulated and real kinetic conversion data. J. Phys. Chem. B 2007, 111:10681-10686.
    • (2007) J. Phys. Chem. B , vol.111 , pp. 10681-10686
    • Cai, J.1    Liu, R.2
  • 8
    • 38849151714 scopus 로고    scopus 로고
    • New distributed activation energy model: numerical solution and application to pyrolysis kinetics of some types of biomass
    • Cai J., Liu R. New distributed activation energy model: numerical solution and application to pyrolysis kinetics of some types of biomass. Bioresour. Technol. 2008, 99:2795-2799.
    • (2008) Bioresour. Technol. , vol.99 , pp. 2795-2799
    • Cai, J.1    Liu, R.2
  • 9
    • 53549110503 scopus 로고    scopus 로고
    • Numerical analysis of new distributed activation energy model for representation of biomass pyrolysis kinetics
    • Cai J., Liu R. Numerical analysis of new distributed activation energy model for representation of biomass pyrolysis kinetics. J. Energy Inst. 2008, 81(3):149-152.
    • (2008) J. Energy Inst. , vol.81 , Issue.3 , pp. 149-152
    • Cai, J.1    Liu, R.2
  • 10
    • 78650962987 scopus 로고    scopus 로고
    • Logistic distributed activation energy model - part 2: application to cellulose pyrolysis. Bioresour. Technol. doi: 10.1016/j.biortech.2010.11.073.
    • Cai, J., Yang, S., Li, T., 2010b. Logistic distributed activation energy model - part 2: application to cellulose pyrolysis. Bioresour. Technol. doi: 10.1016/j.biortech.2010.11.073.
    • (2010)
    • Cai, J.1    Yang, S.2    Li, T.3
  • 11
    • 0034959071 scopus 로고    scopus 로고
    • Pyrolysis kinetics of γ-irradiated polypropylene
    • Dawood A., Miura K. Pyrolysis kinetics of γ-irradiated polypropylene. Polym. Degrad. Stab. 2001, 73:347-354.
    • (2001) Polym. Degrad. Stab. , vol.73 , pp. 347-354
    • Dawood, A.1    Miura, K.2
  • 12
    • 12844276564 scopus 로고    scopus 로고
    • A heterogeneous model for gas transport in carbon molecular sieves
    • Ding L.P., Yuan Y.X., Farooq S., Bhatia S.K. A heterogeneous model for gas transport in carbon molecular sieves. Langmuir 2005, 21:674-681.
    • (2005) Langmuir , vol.21 , pp. 674-681
    • Ding, L.P.1    Yuan, Y.X.2    Farooq, S.3    Bhatia, S.K.4
  • 13
    • 0023346680 scopus 로고
    • Obtaining the kinetic parameters from thermogravimetry using a modified Coats and Redfern technique
    • Fischer P.E., Jou C.S., Gokalgandhi S.S. Obtaining the kinetic parameters from thermogravimetry using a modified Coats and Redfern technique. Ind. Eng. Chem. Res. 1987, 26(5):1037-1040.
    • (1987) Ind. Eng. Chem. Res. , vol.26 , Issue.5 , pp. 1037-1040
    • Fischer, P.E.1    Jou, C.S.2    Gokalgandhi, S.S.3
  • 14
    • 0037102859 scopus 로고    scopus 로고
    • A direct search method for determination of DAEM kinetic parameters from nonisothermal TGA data (note)
    • Güneş M., Güneş S.K. A direct search method for determination of DAEM kinetic parameters from nonisothermal TGA data (note). Appl. Math. Comput. 2002, 130:619-628.
    • (2002) Appl. Math. Comput. , vol.130 , pp. 619-628
    • Güneş, M.1    Güneş, S.K.2
  • 17
    • 58149177350 scopus 로고    scopus 로고
    • Identification of the effective distribution function for determination of the distributed activation energy models using the maximum likelihood method: isothermal thermogravimetric data
    • Jankovic B. Identification of the effective distribution function for determination of the distributed activation energy models using the maximum likelihood method: isothermal thermogravimetric data. Int. J. Chem. Kinet. 2009, 41:27-44.
    • (2009) Int. J. Chem. Kinet. , vol.41 , pp. 27-44
    • Jankovic, B.1
  • 18
    • 0033719369 scopus 로고    scopus 로고
    • Kinetic analysis of the thermal decomposition of synthetic malachite by CRTA
    • Koga N., Criado J., Tanaka H. Kinetic analysis of the thermal decomposition of synthetic malachite by CRTA. J. Therm. Anal. Calorim. 2000, 60:943-954.
    • (2000) J. Therm. Anal. Calorim. , vol.60 , pp. 943-954
    • Koga, N.1    Criado, J.2    Tanaka, H.3
  • 19
    • 0001757427 scopus 로고
    • A new distributed activation energy model using Weibull distribution for the representation of complex kinetics
    • Lakshmanan C.C., White N. A new distributed activation energy model using Weibull distribution for the representation of complex kinetics. Energy Fuels 1994, 8:1158-1167.
    • (1994) Energy Fuels , vol.8 , pp. 1158-1167
    • Lakshmanan, C.C.1    White, N.2
  • 20
    • 53649091264 scopus 로고    scopus 로고
    • Analysis coals and biomass pyrolysis using the distributed activation energy model
    • Li Z., Liu C., Chen Z., Qian J., Zhao W., Zhu Q. Analysis coals and biomass pyrolysis using the distributed activation energy model. Bioresour. Technol. 2009, 100:948-952.
    • (2009) Bioresour. Technol. , vol.100 , pp. 948-952
    • Li, Z.1    Liu, C.2    Chen, Z.3    Qian, J.4    Zhao, W.5    Zhu, Q.6
  • 21
    • 0034746734 scopus 로고    scopus 로고
    • Analysis of pyrolysis and gasification reactions of hydrothermally and supercritically upgraded low-rank coal by using a new distributed activation energy model
    • Liu X., Li B., Miura K. Analysis of pyrolysis and gasification reactions of hydrothermally and supercritically upgraded low-rank coal by using a new distributed activation energy model. Fuel Process Technol. 2001, 69:1-12.
    • (2001) Fuel Process Technol. , vol.69 , pp. 1-12
    • Liu, X.1    Li, B.2    Miura, K.3
  • 22
    • 61549091127 scopus 로고    scopus 로고
    • Determination of distributed activation energy model kinetic parameters using annealing optimization method for nonisothermal pyrolysis of lignin
    • Mani T., Murugan P., Mahinpey N. Determination of distributed activation energy model kinetic parameters using annealing optimization method for nonisothermal pyrolysis of lignin. Ind. Eng. Chem. Res. 2009, 48:1464-1467.
    • (2009) Ind. Eng. Chem. Res. , vol.48 , pp. 1464-1467
    • Mani, T.1    Murugan, P.2    Mahinpey, N.3
  • 23
    • 0029271091 scopus 로고
    • 0(E) in the distributed activation energy model from three sets of experimental data
    • 0(E) in the distributed activation energy model from three sets of experimental data. Energy Fuels 1995, 9:302-307.
    • (1995) Energy Fuels , vol.9 , pp. 302-307
    • Miura, K.1
  • 24
    • 0035324395 scopus 로고    scopus 로고
    • Analysis of formation rates of sulfur-containing gases during the pyrolysis of various coals
    • Miura K., Mae K., Shimada M., Minami H. Analysis of formation rates of sulfur-containing gases during the pyrolysis of various coals. Energy Fuels 2001, 15:629-636.
    • (2001) Energy Fuels , vol.15 , pp. 629-636
    • Miura, K.1    Mae, K.2    Shimada, M.3    Minami, H.4
  • 25
    • 0001181536 scopus 로고    scopus 로고
    • 0(E) in the distributed activation energy model
    • 0(E) in the distributed activation energy model. Energy Fuels 1998, 12:864-869.
    • (1998) Energy Fuels , vol.12 , pp. 864-869
    • Miura, K.1    Maki, T.2
  • 26
    • 0032046873 scopus 로고    scopus 로고
    • Simplified method to estimate f(E) in distributed activation energy model for analyzing coal pyrolysis reaction
    • Miura K., Maki T. Simplified method to estimate f(E) in distributed activation energy model for analyzing coal pyrolysis reaction. J. Chem. Eng. Jpn. 1998, 31(2):228-235.
    • (1998) J. Chem. Eng. Jpn. , vol.31 , Issue.2 , pp. 228-235
    • Miura, K.1    Maki, T.2
  • 27
    • 35948996983 scopus 로고    scopus 로고
    • Review and evaluation of the approximations to the temperature integral
    • Órfão J.M. Review and evaluation of the approximations to the temperature integral. AIChE J. 2007, 53:2905-2915.
    • (2007) AIChE J. , vol.53 , pp. 2905-2915
    • Órfão, J.M.1
  • 28
    • 70349197996 scopus 로고    scopus 로고
    • Crystallizations, solid-state phase transformations and dissolution behavior explained dispersive kinetic models based on a Maxwell-Boltzmann distribution of activation energies: theory, applications, and practical limitations
    • Skrdla P.J. Crystallizations, solid-state phase transformations and dissolution behavior explained dispersive kinetic models based on a Maxwell-Boltzmann distribution of activation energies: theory, applications, and practical limitations. J. Phys. Chem. A 2009, 113:9329-9336.
    • (2009) J. Phys. Chem. A , vol.113 , pp. 9329-9336
    • Skrdla, P.J.1
  • 29
    • 36348945080 scopus 로고    scopus 로고
    • Kinetic analyses of biomass pyrolysis using the distributed activation energy model
    • Sonobe T., Worasuwannarak N. Kinetic analyses of biomass pyrolysis using the distributed activation energy model. Fuel 2008, 87:414-421.
    • (2008) Fuel , vol.87 , pp. 414-421
    • Sonobe, T.1    Worasuwannarak, N.2


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