Article ID Journal Published Year Pages File Type
6656547 Fuel Processing Technology 2018 7 Pages PDF
Abstract
Gross calorific value and ash content were predicted with a standard error of 234 J/g and 0.44%, respectively. The results indicate that the models could be used in screening applications and near infrared spectroscopy is a promising tool in the evaluation of biomass quality.
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Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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Prediction of gross calorific value and ash content of woodchip samples by means of FT-NIR spectroscopy
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