4.7 Article

Development of a mathematical model for hydrothermal carbonization of biomass: Comparison of experimental measurements with model predictions

期刊

ENERGY
卷 214, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.119020

关键词

HTC model; Exothermic reactions; Heat transfer; Porous media

资金

  1. Natural Sciences and Engineering Research Council of Canada (NSERC) [400495]
  2. Environment and Climate Change (MOECC) for Best in Science program [053191]
  3. Biomass Canada Cluster (BMC) - Agriculture and Agri-Food Canada's AgriScience program

向作者/读者索取更多资源

The study developed a mathematical model for hydrothermal carbonization (HTC) for the first time, incorporating heat transfer rate, reaction kinetics, and the porous structure of biomass. Experimental validation confirmed the reliability of the model, which can serve as a first step in designing an industrial reactor for hydrothermal conversion of biomass, potentially attracting investors and policy makers for commercialization of this technology.
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. (C) 2020 Elsevier Ltd. All rights reserved.

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