10.1021/acs.energyfuels.5b01753.s001
Paulo
Eduardo Amaral Debiagi
Paulo
Eduardo Amaral
Debiagi
Chiara Pecchi
Chiara
Pecchi
Giancarlo Gentile
Giancarlo
Gentile
Alessio Frassoldati
Alessio
Frassoldati
Alberto Cuoci
Alberto
Cuoci
Tiziano Faravelli
Tiziano
Faravelli
Eliseo Ranzi
Eliseo
Ranzi
Extractives Extend the Applicability of Multistep
Kinetic Scheme of Biomass Pyrolysis
American Chemical Society
2015
reference
species
basis
TGA
Multistep Kinetic Scheme
biomass characterization method
biomass characterization approach
model
biomass samples
pyrolysi
2015-12-17 10:15:43
Dataset
https://acs.figshare.com/articles/dataset/Extractives_Extend_the_Applicability_of_Multistep_Kinetic_Scheme_of_Biomass_Pyrolysis/2054733
The
main goal of this paper is to extend an existing biomass characterization
method, which, on the basis of the elemental carbon, hydrogen, and
oxygen composition, derives the biochemical composition, in terms
of cellulose, hemicellulose, and lignin. Because of their elemental
composition, several biomasses cannot be characterized by a feasible
mixture of these reference components. This limitation is removed
by accounting for the presence of a couple of new lumped species,
representing hydrophobic and hydrophilic extractives. This extended
characterization method allows one to enlarge its range of validity
significantly, thus covering most of the biomass samples. The accuracy
of the extended method is validated by comparing experimental data
on structural or biochemical composition with model predictions. The
multistep kinetic scheme of biomass pyrolysis is then extended to
the new reference species, on the basis of comparisons with TGA experiments
on triglyceride and tannin pyrolysis. The new pyrolysis model is proved
to be fully consistent with the previous one, already widely validated
under different conditions. Several comparisons of pyrolysis of biomass
samples, outside the applicability range of the original method, validate
the proposed extension. Moreover, the results show that this predictive
model is not very sensitive to the different degrees of freedom of
the new biomass characterization approach.