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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MDPI AG
2020-10-01
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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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language | English |
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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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