Analysis and prediction of characteristics for solid product obtained by hydrothermal carbonization of biomass components
Ruikun Wang,
Senyang Liu,
Qiao Xue,
Kai Lin,
Qianqian Yin and
Zhenghui Zhao
Renewable Energy, 2022, vol. 183, issue C, 575-585
Abstract:
Hydrothermal carbonization (HTC) is a promising thermochemical treatment technique for converting wet biomass into value-added products, but the hydrochar properties of different biomass differ significantly due to the diversity of biomass feedstock and the complexity of HTC reactions. In this study, model biomass samples prepared from five representative components were carbonized hydrothermally under a typical condition of 220 °C, and mathematical models basing on the component recipes were developed to predict the mass yield (MY), higher heating value, energy yield (EY), and equilibrium moisture content of the hydrochar. Synergistic effects occurred between different components in increasing MY and EY, especially when the lipid existed, because the hydrolysed lipid was re-adsorbed on the hydrochar surface or interactively polymerized with other components. All the models showed R2 values above 89%, moreover, validation experiments using additional model biomass showed that the relative errors were less than 8% between the prediction and experiment values, suggesting the prediction models obtained from this study can be used to assess the hydrochar characteristics and bioenergy generation potential based on biomass components.
Keywords: Hydrothermal carbonization; Biomass; Interaction; Hydrochar; Prediction model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148121015718
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:183:y:2022:i:c:p:575-585
DOI: 10.1016/j.renene.2021.11.001
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().