Distributed activation energy modelling for pyrolysis of forest waste using Gaussian distribution

Dhaundiyal, Alok; Singh, Suraj B.

doi:10.1515/prolas-2016-0011

Abstract

The paper focuses on the influences of some factors significant to pyrolysis of forestry biomass on the asymptotic solution of the non-isothermal n^th-order distribution energy model (DAEM) using Gaussian distribution. Investigated parameters are the integral upper limit, the frequency factor, and the heating rate parameters of the Gaussian distribution. The influence of these factors has been used for evaluating the kinetic parameters of the non-isothermal n^th-order Gaussian distribution from thermogravimetric analysis of forest waste.

References

Antal, M. J., Plett, E. G., Chung, T. P. (2006). Recent progress in kinetic models for coal pyrolysis. Available at: http://web.anl.gov/PCS/acsfuel/preprint%20archive/Files/22_2_NEW%20ORLEANS_03-77_0137.pdf (accessed 10 April 2016).
Search in Google Scholar
Anthony, D. B., Howard, J. B. (1976). Coal devolatilization and hydro- gasification. American Institute of Chemical Engineers (AIChE) J., 22, 625-656.10.1002/aic.690220403
Search in Google Scholar
Armstrong, R., Kulesza, B. L. J. (1981). An approximate solution to the equation x = exp(?x/?). Bull. Inst. Math. Appl., 17, 56.
Search in Google Scholar
Brown, M. E. (1988). Introduction to Thermal Analysis Techniques and Applications. New York: Chapman and Hall. 224 pp.10.1007/978-94-009-1219-9
Search in Google Scholar
Burnham, A. K., Schmidt, B. J., Braun, R. L (1995). A test of parallel reaction model using kinetic measurements on hydrous pyrolysis residues. Organ. Geochem., 23 (10), 931-939.10.1016/0146-6380(95)00069-0
Search in Google Scholar
Burnham, A. K., Braun, R. L. (1999). Global kinetic analysis of complex materials. Energy Fuels, 13 (1), 1-22.10.1021/ef9800765
Search in Google Scholar
Capart, R., Khezami, L., Burnham, A. K. (2004). Assessment of various kinetic models for the pyrolysis of microgranular cellulose. Thermochim. Acta, 417 (1), 79-89.10.1016/j.tca.2004.01.029
Search in Google Scholar
Conesa, J. A, Marcilla, A., Caballero, J. A., Font, R. (2001). Comments on the validity and utility of the different methods for kinetic analysis of thermogravimetric data. J. Anal. Appl. Pyrolysis, 58-59, 617-633.10.1016/S0165-2370(00)00130-3
Search in Google Scholar
Conesa, J. A., Caballero, J. A., Marcilla, A., Font, R. (1995). Analysis of different kinetic model in the dynamic pyrolysis of cellulose. Thermochim. Acta, 254, 175-192.10.1016/0040-6031(94)02102-T
Search in Google Scholar
Criado, J. M., Jiménez, P. E. S., Pérez-Maqueda, L. A. (2005). Sample controlled thermal analysis and kinetics. J. Therm. Anal. Cal., 80 (1), 27-33.10.1007/s10973-005-0609-6
Search in Google Scholar
Dhaundiyal, A., Tewari, P. C. (2015). Comparative analysis of pine needles and coal for electricity generation using carbon taxation and emission reductions. Acta Technol. Agricult., 18 (2), 29-35.10.1515/ata-2015-0007
Search in Google Scholar
Dhaundiyal, A., Gupta, V. K. (2014). The analysis of pine needles as a substrate for gasification. J. Water, Energy Environ., 15, 73-8110.3126/hn.v15i0.11299
Search in Google Scholar
Ferdous, D., Dalai, A. K., Bej, S. K., Thring, R. W. (2002). Pyrolysis of lignins: experimental and kinetics studies. Energy Fuels, 16 (6), 1405-141210.1021/ef0200323
Search in Google Scholar
Folgueras, M. B., Díaz, R. M., Xiberta, J., Prieto, I. (2003). Thermogravimetric analysis of the co-combustion of coal and sewage sludge. Fuel, 82 (15-17), 1051-1055.10.1016/S0016-2361(03)00161-3
Search in Google Scholar
Galgano, A., Blasi, C. D. (2003). Modeling wood degradation by the unreacted-core-shrinking approximation. Ind. Eng. Chem. Res., 42 (10), 2101-2111.10.1021/ie020939o
Search in Google Scholar
Ghosh, M. K., Ghosh, U. K. (2011). Utilization of pine needles as bed material in solid state fermentation for production of lactic acid by lactobacillus strains. Bio Res., 6 (2), 1556-1575
Search in Google Scholar

Distributed activation energy modelling for pyrolysis of forest waste using Gaussian distribution

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