Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification

To help meet the global demand for energy and reduce the use of fossil fuels, alternatives such as the production of syngas from renewable biomass can be considered. This conversion of biomass to syngas is possible through a thermochemical gasification process. To design such gasification systems, m...

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Main Authors: Hafiz Muhammad Uzair Ayub, Sang Jin Park, Michael Binns
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/20/5383
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author Hafiz Muhammad Uzair Ayub
Sang Jin Park
Michael Binns
author_facet Hafiz Muhammad Uzair Ayub
Sang Jin Park
Michael Binns
author_sort Hafiz Muhammad Uzair Ayub
collection DOAJ
description To help meet the global demand for energy and reduce the use of fossil fuels, alternatives such as the production of syngas from renewable biomass can be considered. This conversion of biomass to syngas is possible through a thermochemical gasification process. To design such gasification systems, model equations can be formulated and solved to predict the quantity and quality of the syngas produced with different operating conditions (temperature, the flow rate of an oxidizing agent, etc.) and with different types of biomass (wood, grass, seeds, food waste, etc.). For the comparison of multiple different types of biomass and optimization to find optimal conditions, simpler models are preferred which can be solved very quickly using modern desktop computers. In this study, a number of different stoichiometric thermodynamic models are compared to determine which are the most appropriate. To correct some of the errors associated with thermodynamic models, correction factors are utilized to modify the equilibrium constants of the methanation and water gas shift reactions, which allows them to better predict the real output composition of the gasification reactors. A number of different models can be obtained using different correction factors, model parameters, and assumptions, and these models are compared and validated against experimental data and modelling studies from the literature.
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spelling doaj.art-31f81a5d2baa4feb904cee5b3151a2352023-11-20T17:13:53ZengMDPI AGEnergies1996-10732020-10-011320538310.3390/en13205383Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass GasificationHafiz Muhammad Uzair Ayub0Sang Jin Park1Michael Binns2Department of Chemical and Biochemical Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul 04623, KoreaDepartment of Chemical and Biochemical Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul 04623, KoreaDepartment of Chemical and Biochemical Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul 04623, KoreaTo help meet the global demand for energy and reduce the use of fossil fuels, alternatives such as the production of syngas from renewable biomass can be considered. This conversion of biomass to syngas is possible through a thermochemical gasification process. To design such gasification systems, model equations can be formulated and solved to predict the quantity and quality of the syngas produced with different operating conditions (temperature, the flow rate of an oxidizing agent, etc.) and with different types of biomass (wood, grass, seeds, food waste, etc.). For the comparison of multiple different types of biomass and optimization to find optimal conditions, simpler models are preferred which can be solved very quickly using modern desktop computers. In this study, a number of different stoichiometric thermodynamic models are compared to determine which are the most appropriate. To correct some of the errors associated with thermodynamic models, correction factors are utilized to modify the equilibrium constants of the methanation and water gas shift reactions, which allows them to better predict the real output composition of the gasification reactors. A number of different models can be obtained using different correction factors, model parameters, and assumptions, and these models are compared and validated against experimental data and modelling studies from the literature.https://www.mdpi.com/1996-1073/13/20/5383biomass gasificationstoichiometricmodellingoptimizationthermodynamicsmethanation reaction
spellingShingle Hafiz Muhammad Uzair Ayub
Sang Jin Park
Michael Binns
Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification
Energies
biomass gasification
stoichiometric
modelling
optimization
thermodynamics
methanation reaction
title Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification
title_full Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification
title_fullStr Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification
title_full_unstemmed Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification
title_short Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification
title_sort biomass to syngas modified stoichiometric thermodynamic models for downdraft biomass gasification
topic biomass gasification
stoichiometric
modelling
optimization
thermodynamics
methanation reaction
url https://www.mdpi.com/1996-1073/13/20/5383
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AT sangjinpark biomasstosyngasmodifiedstoichiometricthermodynamicmodelsfordowndraftbiomassgasification
AT michaelbinns biomasstosyngasmodifiedstoichiometricthermodynamicmodelsfordowndraftbiomassgasification