Application of Gaussian Smoothing Technique in Evaluation of Biomass Pyrolysis Kinetics in Macro-TGA

© 2017 The Authors. Published by Elsevier Ltd. Pyrolysis of eucalyptus wood and refuse derived fuel was carried out in a continuously weighing fixed bed reactor performing as a macro thermogravimetric analyzer (macro-TGA). All samples were heated from ambient temperature to 800 °C at different heati...

Full description

Saved in:
Bibliographic Details
Main Authors: Thossaporn Onsree, Nakorn Tippayawong
Format: Conference Proceeding
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85035228306&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57262
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-57262
record_format dspace
spelling th-cmuir.6653943832-572622018-09-05T03:37:29Z Application of Gaussian Smoothing Technique in Evaluation of Biomass Pyrolysis Kinetics in Macro-TGA Thossaporn Onsree Nakorn Tippayawong Energy © 2017 The Authors. Published by Elsevier Ltd. Pyrolysis of eucalyptus wood and refuse derived fuel was carried out in a continuously weighing fixed bed reactor performing as a macro thermogravimetric analyzer (macro-TGA). All samples were heated from ambient temperature to 800 °C at different heating rates; 5, 10, and 15 °C/min. Because of buoyancy effect and measurement uncertainties, noises were generally detected in mass change or thermogravimetric (TG) data obtained from the macro-TGA. The noises led to high degree of fluctuation in the derivative TG (DTG) data. These fluctuating data could not be used directly to analyze kinetic parameters. Smoothing was required in eliminating the noise to obtain reliable DTG data used for subsequent kinetic analysis. In this paper, Gaussian smoothing technique was applied to characterize the smoothing quality, based on mathematics and kinetics points of view. In mathematical analysis, values of smoothing parameters σ within 4-15 showed that raw-data can be improved to be sufficiently smooth to achieve DTG curves without high fluctuation by fourth-order central difference method. Smoothed TG curves did not significantly differ from the original signals. However, kinetic analysis results indicated that only Gaussian smoothing with 7 ≤ σ ≤ 10 can provide meaningful kinetic parameters (Ea ∼ 140-150 kJ/mol), which can be used to describe pyrolysis behavior in macro-TGA satisfactorily (R2 ≥ 0.99). 2018-09-05T03:37:29Z 2018-09-05T03:37:29Z 2017-01-01 Conference Proceeding 18766102 2-s2.0-85035228306 10.1016/j.egypro.2017.10.059 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85035228306&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57262
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Energy
spellingShingle Energy
Thossaporn Onsree
Nakorn Tippayawong
Application of Gaussian Smoothing Technique in Evaluation of Biomass Pyrolysis Kinetics in Macro-TGA
description © 2017 The Authors. Published by Elsevier Ltd. Pyrolysis of eucalyptus wood and refuse derived fuel was carried out in a continuously weighing fixed bed reactor performing as a macro thermogravimetric analyzer (macro-TGA). All samples were heated from ambient temperature to 800 °C at different heating rates; 5, 10, and 15 °C/min. Because of buoyancy effect and measurement uncertainties, noises were generally detected in mass change or thermogravimetric (TG) data obtained from the macro-TGA. The noises led to high degree of fluctuation in the derivative TG (DTG) data. These fluctuating data could not be used directly to analyze kinetic parameters. Smoothing was required in eliminating the noise to obtain reliable DTG data used for subsequent kinetic analysis. In this paper, Gaussian smoothing technique was applied to characterize the smoothing quality, based on mathematics and kinetics points of view. In mathematical analysis, values of smoothing parameters σ within 4-15 showed that raw-data can be improved to be sufficiently smooth to achieve DTG curves without high fluctuation by fourth-order central difference method. Smoothed TG curves did not significantly differ from the original signals. However, kinetic analysis results indicated that only Gaussian smoothing with 7 ≤ σ ≤ 10 can provide meaningful kinetic parameters (Ea ∼ 140-150 kJ/mol), which can be used to describe pyrolysis behavior in macro-TGA satisfactorily (R2 ≥ 0.99).
format Conference Proceeding
author Thossaporn Onsree
Nakorn Tippayawong
author_facet Thossaporn Onsree
Nakorn Tippayawong
author_sort Thossaporn Onsree
title Application of Gaussian Smoothing Technique in Evaluation of Biomass Pyrolysis Kinetics in Macro-TGA
title_short Application of Gaussian Smoothing Technique in Evaluation of Biomass Pyrolysis Kinetics in Macro-TGA
title_full Application of Gaussian Smoothing Technique in Evaluation of Biomass Pyrolysis Kinetics in Macro-TGA
title_fullStr Application of Gaussian Smoothing Technique in Evaluation of Biomass Pyrolysis Kinetics in Macro-TGA
title_full_unstemmed Application of Gaussian Smoothing Technique in Evaluation of Biomass Pyrolysis Kinetics in Macro-TGA
title_sort application of gaussian smoothing technique in evaluation of biomass pyrolysis kinetics in macro-tga
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85035228306&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57262
_version_ 1681424846136803328