Optimisation and characterisation of bio-oil produced by Acacia mangium Willd wood pyrolysis
The aim of this research was to characterise the bio-oil produced by pyrolysis of Acacia mangium wood through gas chromatography–mass spectrometry (GC–MS). Experimental study was employed using two experiment models: two-level factorial design (TLFD) and response surface methodology–Box–Behnken (RSM...
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Published in | Wood science and technology Vol. 51; no. 5; pp. 1155 - 1171 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.09.2017
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | The aim of this research was to characterise the bio-oil produced by pyrolysis of
Acacia mangium
wood through gas chromatography–mass spectrometry (GC–MS). Experimental study was employed using two experiment models: two-level factorial design (TLFD) and response surface methodology–Box–Behnken (RSM–BB). TLFD was used to analyse the final temperature, heating rate and particle size effect on the bio-oil yield, while RSM–BB was conducted to determine the optimum conditions for bio-oil production. The statistical analysis showed that the factors of pyrolysis temperature and particle size had the greater effect, while the heating rate was significant, but had a lesser effect. By utilising RSM, these factors presented the optimal conditions obtained at pyrolysis temperature of 499.57 °C, heating rate of 12 °C min
−1
and particle size of 0.46 mm. With the GC–MS result, it was observed that the percentage of phenol and derivatives was much higher than the rest of the components. |
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ISSN: | 0043-7719 1432-5225 |
DOI: | 10.1007/s00226-017-0913-x |