Calorific Value Prediction Model Using Structure Composition of Heat-Treated Lignocellulosic Biomass

Calorific Value Prediction Model Using Structure Composition of Heat-Treated Lignocellulosic Biomass

This study aims to identify an equation for predicting the calorific value for heat-treated biomass using structural analysis. Different models were constructed using 129 samples of cellulose, hemicellulose, and lignin, and calorific values obtained from previous studies. These models were validated...

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Bibliographic Details
Main Authors: Sunyong Park, Seon Yeop Kim, Ha Eun Kim, Kwang Cheol Oh, Seok Jun Kim, La Hoon Cho, Young Kwang Jeon, DaeHyun Kim
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Energies
Subjects:
woody biomass
herbaceous biomass
prediction model
calorific value
Online Access:https://www.mdpi.com/1996-1073/16/23/7896

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