Computational Modeling Approaches of Hydrothermal Carbonization: A Critical Review

Hydrothermal carbonization (HTC) continues to gain recognition over other valorization techniques for organic and biomass residue in recent research. The hydrochar product of HTC can be effectively produced from various sustainable resources and has been shown to have impressive potential for a wide...

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Main Authors: Mitchell Ubene, Mohammad Heidari, Animesh Dutta
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/6/2209
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author Mitchell Ubene
Mohammad Heidari
Animesh Dutta
author_facet Mitchell Ubene
Mohammad Heidari
Animesh Dutta
author_sort Mitchell Ubene
collection DOAJ
description Hydrothermal carbonization (HTC) continues to gain recognition over other valorization techniques for organic and biomass residue in recent research. The hydrochar product of HTC can be effectively produced from various sustainable resources and has been shown to have impressive potential for a wide range of applications. As industries work to adapt the implementation of HTC over large processes, the need for reliable models that can be referred to for predictions and optimization studies are becoming imperative. Although much of the available research relating to HTC has worked on the modeling area, a large gap remains in developing advanced computational models that can better describe the complex mechanisms, heat transfer, and fluid dynamics that take place in the reactor of the process. This review aims to highlight the importance of expanding the research relating to computational modeling for HTC conversion of biomass. It identifies six research areas that are recommended to be further examined for contributing to necessary advancements that need to be made for large-scale and continuous HTC operations. The six areas that are identified for further investigation are variable feedstock compositions, heat of exothermic reactions, type of reactor and scale-up, consideration of pre-pressurization, consideration of the heat-up period, and porosity of feedstock. Addressing these areas in future HTC modeling efforts will greatly help with commercialization of this promising technology.
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spelling doaj.art-46b154530f014ad0b745a1f99519ab872023-11-30T21:03:35ZengMDPI AGEnergies1996-10732022-03-01156220910.3390/en15062209Computational Modeling Approaches of Hydrothermal Carbonization: A Critical ReviewMitchell Ubene0Mohammad Heidari1Animesh Dutta2Mechanical Engineering Program, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, CanadaMechanical Engineering Program, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, CanadaMechanical Engineering Program, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, CanadaHydrothermal carbonization (HTC) continues to gain recognition over other valorization techniques for organic and biomass residue in recent research. The hydrochar product of HTC can be effectively produced from various sustainable resources and has been shown to have impressive potential for a wide range of applications. As industries work to adapt the implementation of HTC over large processes, the need for reliable models that can be referred to for predictions and optimization studies are becoming imperative. Although much of the available research relating to HTC has worked on the modeling area, a large gap remains in developing advanced computational models that can better describe the complex mechanisms, heat transfer, and fluid dynamics that take place in the reactor of the process. This review aims to highlight the importance of expanding the research relating to computational modeling for HTC conversion of biomass. It identifies six research areas that are recommended to be further examined for contributing to necessary advancements that need to be made for large-scale and continuous HTC operations. The six areas that are identified for further investigation are variable feedstock compositions, heat of exothermic reactions, type of reactor and scale-up, consideration of pre-pressurization, consideration of the heat-up period, and porosity of feedstock. Addressing these areas in future HTC modeling efforts will greatly help with commercialization of this promising technology.https://www.mdpi.com/1996-1073/15/6/2209hydrothermal carbonizationbiomasscomputational process modelingheat transferhydrocharresearch gaps
spellingShingle Mitchell Ubene
Mohammad Heidari
Animesh Dutta
Computational Modeling Approaches of Hydrothermal Carbonization: A Critical Review
Energies
hydrothermal carbonization
biomass
computational process modeling
heat transfer
hydrochar
research gaps
title Computational Modeling Approaches of Hydrothermal Carbonization: A Critical Review
title_full Computational Modeling Approaches of Hydrothermal Carbonization: A Critical Review
title_fullStr Computational Modeling Approaches of Hydrothermal Carbonization: A Critical Review
title_full_unstemmed Computational Modeling Approaches of Hydrothermal Carbonization: A Critical Review
title_short Computational Modeling Approaches of Hydrothermal Carbonization: A Critical Review
title_sort computational modeling approaches of hydrothermal carbonization a critical review
topic hydrothermal carbonization
biomass
computational process modeling
heat transfer
hydrochar
research gaps
url https://www.mdpi.com/1996-1073/15/6/2209
work_keys_str_mv AT mitchellubene computationalmodelingapproachesofhydrothermalcarbonizationacriticalreview
AT mohammadheidari computationalmodelingapproachesofhydrothermalcarbonizationacriticalreview
AT animeshdutta computationalmodelingapproachesofhydrothermalcarbonizationacriticalreview