Physicochemical Characterization and Thermal Behavior of Different Wood Species from the Amazon Biome

Author:

Bimestre Thiago Averaldo1ORCID,Silva Fellipe Sartori1,Tuna Celso Eduardo1,dos Santos José Carlos2,de Carvalho João Andrade1,Canettieri Eliana Vieira1

Affiliation:

1. Chemistry and Energy Department, School of Engineering, São Paulo State University UNESP, Guaratinguetá 12516-410, SP, Brazil

2. Associated Laboratory of Combustion and Propulsion—LCP/INPE, Cachoeira Paulista 12630-970, SP, Brazil

Abstract

The Brazilian Amazon is one of the main tropical wood-producing regions in the world, where exploration and industrial processing are among its main economic activities. Wood is characterized as a material consisting mainly of compounds with a high degree of polymerization and molecular weight such as cellulose, hemicellulose and lignin, in addition to other compounds such as ash and extractives. This chemical complexity of wood brings with it a wide possibility of chemical and thermochemical processing aiming at the production of bioproducts and biofuels. In this context, it is essential to know the physicochemical properties and thermal behavior of wood species from the Amazon biome to add value to the product, reducing waste and maximizing the species used. This work presents an investigation into the physicochemical and thermogravimetric characteristics of 21 species of wood from the Amazon, in addition to the determination of the higher heating value (HHV) of each one of them, focusing on the energy use of the biomass under analysis. The samples showed a high lignin content, varying between 26.8% and 33.9%, with a standard deviation of 1.7% and an average of 30.0%. The Trattinnickia sp. had the highest lignin content (33.86 ± 0.13%). The cellulose content varied from 31.3% to 55.9%, with a standard deviation of 7.3% and an average of 41.74%. The Ruizterania albiflora had the highest cellulose content (55.90 ± 1.20%). For the hemicellulose content, the variation ranged from 8.6% to 17.0%, with a standard deviation of 2.6% and an average of 12.38%. The samples that showed the highest HHVs were Ocotea sp. (18.588 ± 0.082 MJ kg−1) followed by Ferreiraa spectabilis (18.052 ± 0.157 MJ kg−1).

Funder

São Paulo Research Foundation

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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