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      Performance of visible and Near-infrared spectroscopy to predict the energetic properties of wood

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          Abstract

          Abstract: Wood can be used for fuel by direct burning, or as a raw material for other fuels; however, it is necessary to evaluate the energy properties to ensure the optimal use of this material. The most relevant characteristics to be analyzed are the higher heating value, volatile material content, fixed carbon content, and ash content. Along with the traditional methods, there are also non-destructive evaluations that are optimized for speed and reliability. Among these methods, visible spectroscopy and near-infrared spectroscopy have been proven to be robust for the prediction of several wood properties. The aim of this study was to evaluate the potential of visible spectroscopy and near-infrared spectroscopy for species discrimination and prediction of higher heating value, volatile material content, fixed carbon content, and ash content for Eucalyptus saligna, Eucalyptus dunnii, and Eucalyptus benthamii woods. For this purpose, multivariate principal component analysis and partial least squares regression were applied to the collected spectra. The principal component analysis satisfactorily discriminated the three species, explaining 99% of the variance of the visible spectroscopy spectra and 73% of that of the near-infrared spectra. The estimation of energetic properties through partial least squares regression was satisfactory for both visible spectroscopy and near-infrared spectroscopies, which presented calibration R² values close to 1 and low errors for all properties studied.

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          Most cited references46

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          Energy production from biomass (Part 1): Overview of biomass.

          The use of renewable energy sources is becoming increasingly necessary, if we are to achieve the changes required to address the impacts of global warming. Biomass is the most common form of renewable energy, widely used in the third world but until recently, less so in the Western world. Latterly much attention has been focused on identifying suitable biomass species, which can provide high-energy outputs, to replace conventional fossil fuel energy sources. The type of biomass required is largely determined by the energy conversion process and the form in which the energy is required. In the first of three papers, the background to biomass production (in a European climate) and plant properties is examined. In the second paper, energy conversion technologies are reviewed, with emphasis on the production of a gaseous fuel to supplement the gas derived from the landfilling of organic wastes (landfill gas) and used in gas engines to generate electricity. The potential of a restored landfill site to act as a biomass source, providing fuel to supplement landfill gas-fuelled power stations, is examined, together with a comparison of the economics of power production from purpose-grown biomass versus waste-biomass. The third paper considers particular gasification technologies and their potential for biomass gasification.
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            Prediction of heating values of biomass fuel from elemental composition

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              A review of band assignments in near infrared spectra of wood and wood components

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                Author and article information

                Journal
                maderas
                Maderas. Ciencia y tecnología
                Maderas, Cienc. tecnol.
                Universidad del Bío-Bío (Concepción, , Chile )
                0718-221X
                2024
                : 26
                : 11
                Affiliations
                [2] orgnameUniversidade do Contestado Brazil
                [3] orgnameUniversidade Federal de Mato Grosso Brazil
                [1] Paraná orgnameFederal University of Paraná Brazil
                [4] Tocantins orgnameFederal University of Tocantins Brazil
                Article
                S0718-221X2024000100411 S0718-221X(24)02600000411
                10.22320/s0718221x/2024.11
                05278f8b-a2e6-4849-b40f-dc9c68d19e46

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 24 January 2022
                : 02 November 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 46, Pages: 0
                Product

                SciELO Chile


                multivariate analysis,Near-infrared spectroscopy.,heating value,Eucalyptus,chemometrics,Biofuel

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