Optimisation and characterisation of bio-oil produced by Acacia mangium Willd wood pyrolysis
ARTIGO
Inglês
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...
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 A degrees C, heating rate of 12 A degrees 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
Fechado
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
Fontes
Wood science and technology: journal of the international academy of wood science Vol. 51, no. 5 (Sep., 2017), p. 1155-1171 |