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contributor authorKaushlendra Singh
contributor authorMark Risse
contributor authorK. C. Das
contributor authorJohn Worley
date accessioned2017-05-09T00:32:25Z
date available2017-05-09T00:32:25Z
date copyrightJune, 2009
date issued2009
identifier issn0195-0738
identifier otherJERTD2-26562#022201_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/140359
description abstractThe proportional composition of cellulose, hemicellulose, lignin, and minerals in a biomass plays a significant role in the proportion of pyrolysis products (bio-oil, char, and gases). Traditionally, the composition of biomass is chemically determined, which is a time consuming process. This paper presents the results of a preliminary investigation of a method using thermogravimetric analysis for predicting the fraction of cellulose and lignin in lignin-cellulose mixtures. The concept is based on a newly developed theory of pyrolytic unit thermographs (PUTs). The PUT is a thermograph showing rate of change in biomass weight with respect to temperature for a unit weight loss. These PUTs were used as input for two predictive mathematical procedures that minimize noise to predict the fractional composition in unknown lignin-cellulose mixtures. The first model used linear correlations between cellulose/lignin content and peak decomposition rate while the second method used a system of linear equations. Results showed that both models predicted the composition of lignin-cellulose mixture within 7–18% of measured value. The promising results of this preliminary study will certainly motivate further refinement of this method through advanced research.
publisherThe American Society of Mechanical Engineers (ASME)
titleDetermination of Composition of Cellulose and Lignin Mixtures Using Thermogravimetric Analysis
typeJournal Paper
journal volume131
journal issue2
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.3120349
journal fristpage22201
identifier eissn1528-8994
keywordsBiomass
keywordsEquations
keywordsMixtures AND Temperature
treeJournal of Energy Resources Technology:;2009:;volume( 131 ):;issue: 002
contenttypeFulltext


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