Development of a mathematical model for hydrothermal carbonization of biomass: Comparison of experimental measurements with model predictions
Mohammad Heidari,
Shakirudeen Salaudeen,
Precious Arku,
Bishnu Acharya,
Syeda Tasnim and
Animesh Dutta
Energy, 2021, vol. 214, issue C
Abstract:
The present study aims to develop a mathematical model for hydrothermal carbonization (HTC) by incorporating heat transfer rate, reaction kinetics, and the porous structure of the biomass for the first time using various modules of COMSOL Multiphysics software. HTC experiments on pine wood particles using a batch reactor were performed to calibrate the model. Operating parameters such as temperature, residence time, biomass to water ratio, and power consumption were recorded, and the obtained products were characterized via ultimate analysis, and bomb calorimetry experiments. Experimental results validate the predictions of the developed model. It is observed that the predicted energy consumption was considerably deflected from the experimental value when the reactions during the processing and porosity of biomass were not considered. Hence, the developed model can potentially be used as a first step in designing an industrial reactor for hydrothermal conversion of biomass, which may attract investors and policy makers for commercialization of this technology.
Keywords: HTC model; Exothermic reactions; Heat transfer; Porous media (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544220321277
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:energy:v:214:y:2021:i:c:s0360544220321277
DOI: 10.1016/j.energy.2020.119020
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().