Journal of Thermal Analysis and Calorimetry
Volume/Issue:
Volume 78: Issue 3
Smoothing and differentiation of thermogravimetric data of biomass materials
Authors:
H. Chen University of Science and Technology of China Hefei State Key Laboratory of Fire Science Anhui 230026 P. R. China Anhui 230026 P. R. China

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N. Liu Tsinghua University Center for Public Safety Research and Department of Engineering Mechanics Beijing 100084 P. R. China E-mail Beijing 100084 P. R. China E-mail

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L. Shu Environment and Protection Research Institute of Forest Ecology Chinese Academy of Forestry Wanshou Shan Beijing 100091 People's Republic of China Chinese Academy of Forestry Wanshou Shan Beijing 100091 People's Republic of China

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R. Zong University of Science and Technology of China Hefei State Key Laboratory of Fire Science Anhui 230026 P. R. China Anhui 230026 P. R. China

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Pages:
1029–1041
Online Publication Date:
13 Jan 2005
Publication Date:
01 Dec 2004
Article Category:
Research Article
DOI:
https://doi.org/10.1007/s10973-004-0468-6
Keywords:
decomposition; biomass; average smoothing; Gaussian method; smoothing; Vondrak method
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Abstract  

Due to the experimental errors, the chemical effect of minor reactions, and some physical effects of heat and mass transfer, there usually exists much noise in the mass loss data resulted from thermal decomposition experiments, and thus high quality smoothing algorithm plays an important role in obtaining reliable derivative thermogravimetric (DTG) curves required for differential kinetic analysis. In this paper three smoothing methods, i.e. Moving Average smoothing, Gaussian smoothing, and Vondrak smoothing, are investigated in detail for pre-treatment of biomass decomposition data to obtain the DTG curves, and the smoothing results are compared. It is concluded that by choosing reasonable smoothing parameters based on the spectrum analysis of the data, the Gaussian smoothing and Vondrak smoothing can be reliably used to obtain DTG curves. The kinetic parameters calculated from the original TG curves and smoothed DTG curves have excellent agreement, and thus the Gaussian and Vondrak smoothing algorithms can be used directly and accurately in kinetic analysis.

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Cover Journal of Thermal Analysis and Calorimetry
Journal of Thermal Analysis and Calorimetry
Print ISSN:
1388-6150
Online ISSN:
1572-8943

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Journal of Thermal Analysis and Calorimetry
Language English
Size A4
Year of
Foundation		 1969
Volumes
per Year		 1
Issues
per Year		 24
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 1388-6150 (Print)
ISSN 1588-2926 (Online)

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