Karim Rabea
An improved kinetic modelling of woody biomass gasification in a downdraft reactor based on the pyrolysis gas evolution
Rabea, Karim; Michailos, Stavros; Akram, Muhammad; Hughes, Kevin J.; Ingham, Derek; Pourkashanian, Mohamed
Authors
Dr Stavros Michailos S.Michailos@hull.ac.uk
Lecturer in Chemical Engineering
Muhammad Akram
Kevin J. Hughes
Derek Ingham
Mohamed Pourkashanian
Abstract
Biomass gasification technology is evolving and more research through modelling alongside the experimental work needs to be performed. In the past, all the attention has been concentrated on the combustion and reduction stages to be the controlling reactions while the pyrolysis is modelled as an instantaneous process. In this study, a new enhanced model for the gasification process in the downdraft reactor is proposed with a more realistic representation of the pyrolysis stage as a temperature-dependent sequential release of gases. The evolution of the pyrolysis gas, followed by the combustion and reduction reactions, are kinetically controlled in the proposed model which is developed within the Aspen Plus software package. The simulation of the reactor temperature profile and the evolution of the pyrolysis gas is carried out in an integrated MATLAB and Aspen Plus model. The proposed model has been validated against experimental data obtained from the gasification of different woody biomass types and considering a range of scale reactor and power loads. The predicted results are in very good agreement with the experimental data, and therefore the model can be used with confidence to perform a sensitivity analysis to predict the performance of a gasifier at different load levels corresponding to the air flow rate range of 3–10 L/s. As the supplied air flow rate increases, the LHV decreases but the gas yield behaves conversely, and in turn the cold gas efficiency is maintained at a good level of energy conversion at ≥ 70%. Furthermore, the variation in the biomass moisture content, which is commonly in the range of 5–25 % has a significant effect on the gasification efficiency. Such that biomass that has a high moisture content substantially reduces the CO content and consequently the LHV of the produced gas. Hence, it is important to maintain the moisture content at the lowest level.
Citation
Rabea, K., Michailos, S., Akram, M., Hughes, K. J., Ingham, D., & Pourkashanian, M. (2022). An improved kinetic modelling of woody biomass gasification in a downdraft reactor based on the pyrolysis gas evolution. Energy Conversion and Management, 258, Article 115495. https://doi.org/10.1016/j.enconman.2022.115495
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 11, 2022 |
Online Publication Date | Mar 23, 2022 |
Publication Date | Apr 15, 2022 |
Deposit Date | Dec 5, 2022 |
Publicly Available Date | Dec 8, 2022 |
Journal | Energy Conversion and Management |
Print ISSN | 0196-8904 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 258 |
Article Number | 115495 |
DOI | https://doi.org/10.1016/j.enconman.2022.115495 |
Keywords | Aspen plus modelling; Kinetic model; Pyrolysis gas evolution; Woody biomass; Downdraft gasifier; Aspen plus/MATLAB connection |
Public URL | https://hull-repository.worktribe.com/output/4130982 |
Files
Published article
(3.4 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0
Copyright Statement
© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
You might also like
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search