Characterization of teak pruning waste as an energy resource

Characterization of teak pruning waste as an energy resource

Pruning agroforestry areas generates significant amounts of lignocellulosic biomass every year. The energy production potential of this biomass is unclear. The aim of this research was to quantify the amount of pruning residues generated from Teak ( Tectona grandis ), which are composed by mixtures...

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Bibliographic Details
Published in:Agroforestry systems Vol. 94; no. 1; pp. 241 - 250
Main Authors: Pérez Arévalo, Juan José, Velázquez Martí, Borja
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01-02-2020
Springer Nature B.V
Subjects:
Agriculture
Agroforestry
Biomass
Biomass energy production
Biomedical and Life Sciences
Calorific value
Carbon content
Chemical composition
Climatic conditions
Economic models
Energy sources
Forestry
Leaves
Life Sciences
Lignocellulose
Nitrogen
Prediction models
Pruning
Regression analysis
Regression models
Residues
Elemental composition
Bioenergy
Pruning waste
HHV
Agroforestry
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Summary:Pruning agroforestry areas generates significant amounts of lignocellulosic biomass every year. The energy production potential of this biomass is unclear. The aim of this research was to quantify the amount of pruning residues generated from Teak ( Tectona grandis ), which are composed by mixtures of wood and leaves. An equation from a regression model has been proposed to quantify these residues with a adjusted coefficient of determination (r 2 ) of 0.73. On the other hand, mixtures with different wood/leaf ratios of Teak were characterized by its higher heating value (HHV), elemental composition, structural and proximate analysis. This analysis allowed for further development of indirect HHV prediction models that are economically attractive and less time consuming than direct measurements. These models presented high coefficients of determination (r 2 0.66–0.77). It has been determined that teak has the highest mean HHV of 17,373.7 kJ kg −1  dry. Elemental analysis showed the highest carbon content was about 46.2%. Mean hydrogen content was 7.5%. Leaf content has influenced on ash and nitrogen percentages. Nevertheless, the amount of nitrogen did not reach 1% for mixtures with leaf ratio lower than 50%. It is concluded that the proposed model can be used to predict the biomass of teak pruning grown in Aw climatic conditions. From the characterization of these pruned materials, the energy, residues and emissions can be estimated.
ISSN:0167-4366
1572-9680
DOI:10.1007/s10457-019-00387-3