Optimisation and characterisation of bio-oil produced by Acacia mangium Willd wood pyrolysis

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–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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wood Science and Technology Springer Journals

Optimisation and characterisation of bio-oil produced by Acacia mangium Willd wood pyrolysis

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag Berlin Heidelberg
Subject
Life Sciences; Wood Science & Technology; Ceramics, Glass, Composites, Natural Materials; Operating Procedures, Materials Treatment
ISSN
0043-7719
eISSN
1432-5225
D.O.I.
10.1007/s00226-017-0913-x
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Wood Science and TechnologySpringer Journals

Published: Apr 12, 2017

References

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