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Insight into biomass pyrolysis kinetics: New integral methods for nonisothermal kinetics with exponential temperature program
[Display omitted] •Two accurate approximations for temperature integral with exponential heating are proposed.•New methods for nonisothermal kinetics with exponential heating are developed.•New methods are more accurate than Gorbachev method in determination of E and A. The exponential temperature c...
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Published in: | Journal of analytical and applied pyrolysis 2021-05, Vol.155, p.105080, Article 105080 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | [Display omitted]
•Two accurate approximations for temperature integral with exponential heating are proposed.•New methods for nonisothermal kinetics with exponential heating are developed.•New methods are more accurate than Gorbachev method in determination of E and A.
The exponential temperature change in nonisothermal kinetic analysis is usually used in the experimental investigation of biomass pyrolysis kinetics. In this paper, the applying of exponential temperature change for nonisothermal kinetics of thermally stimulated processes is discussed. Two approximations for the temperature integral occurring in nonisothermal kinetics with exponential temperature program are proposed. These approximations are more accurate in the evaluation of the integral than Gorbachev approximation. Based on the newly proposed approximations, the corresponding integral methods for nonisothermal kinetics with exponential temperature change have been developed. A systematic analysis of the relative errors involved in the kinetic parameters determined from these integral methods has been carried out, the results indicate that the proposed integral methods are more accurate than Gorbachev integral method. It is expected that the results will be helpful for the kinetic analysis of biomass pyrolysis with exponential temperature program. |
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ISSN: | 0165-2370 1873-250X |
DOI: | 10.1016/j.jaap.2021.105080 |