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Title:

Decomposition Modeling Using Thermogravimetry with a Multivariate Approach

Author(s):

Persson, A., Holmgren, P., Broström, M.

Document(s):

Paper Paper

Poster Poster

Abstract:

There exists a need for simple and reliable characterization methods for biomass in several scientific areas. Not many publications report on multivariate statistical treatment of thermogravimetric data, and therefore the objectives of this study were to i) evaluate the potential for using a multivariate statistical approach for modeling degree of decomposition of thermally pretreated wood using data from conventional thermogravimetric analysis, ii) compare the predictions from the multivariate chemometric model with a gaussian curve fit approach made to the same data set, and iii) demonstrate the method comparison also for torrefied material from a pilot scale torrefaction plant, an application with relevance for bio-based energy systems under development. The results showed that the suggested method for decomposition modeling performed well, even though some limitations were discovered. It was also proven useful for the application tested.

Keywords:

analysis, modelling, torrefaction, pretreatment, chemical composition, characterization, modeling

Topic:

R&D on Processes for Solid, Liquid and Gaseous Fuels from Biomass

Subtopic:

Production and supply of solid biofuels

Event:

21st European Biomass Conference and Exhibition

Session:

3CV.1.8

Pages:

1451 - 1455

ISBN:

978-88-89407-53-0

Paper DOI:

10.5071/21stEUBCE2013-3CV.1.8

Price:

FREE