Diyoke, C., Gao, N., Aneke, M. orcid.org/0000-0001-9908-6139 et al. (2 more authors) (2018) Modelling of down-draft gasification of biomass - An integrated pyrolysis, combustion and reduction process. Applied Thermal Engineering, 142. pp. 444-456. ISSN 1359-4311
Abstract
A gasification model is developed and implemented in Matlab to simulate a downdraft gasifier using wood as feedstock. The downdraft gasifier was conceptually divided into three zones: the pyrolysis zone, the combustion/oxidation zone and the reduction zone. A typical tar composition and its mole fraction, as reported in the literature was supplied as an input parameter in the model. The concentration of syngas and profiles of temperature along the reduction zone length were obtained by solving the mass and energy balances across each control volume and taking into account the rate of formation/consumption of the species according to different gasification kinetics. The simulation results from the model agreed closely with the experimental results. The syngas concentration was found to be about 1.1%, 17.3%, 22.8%, 9.0% and 49.8% for CH4, H2, CO, CO2, and N2 respectively and the corresponding LHV, CGE, CCE and yield were 4.7 MJ/N m3, 59.9%, 85.5% and 2.5 N m3/kg-biomass respectively at ER of 3.1 and fuel moisture content of 18.5 wt% Sensitivity analysis was carried out with this validated model for different air-fuel ratios, moisture contents and inlet air temperature. The analysis can be applied to produce specific design data for a downdraft biomass reactor given the fuel composition and operating conditions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier. This is an author produced version of a paper subsequently published in Applied Thermal Engineering. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Gasification; Downdraft gasifier; Modelling; Biomass; Performance analysis |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Dec 2018 10:39 |
Last Modified: | 07 Jul 2019 00:43 |
Published Version: | https://doi.org/10.1016/j.applthermaleng.2018.06.0... |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.applthermaleng.2018.06.079 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140193 |