Lester, E, Avila, C orcid.org/0000-0002-5691-6814, Pang, CH et al. (7 more authors) (2018) A proposed biomass char classification system. Fuel, 232. pp. 845-854. ISSN 0016-2361
Abstract
A new classification system is proposed for the morphological characterisation of char structures from biomass. These char structures are unlike the coal chars that have an established nomenclature via the International Committee of Coal and Organic Petrology (ICCP) which divides char structures into thin walled and thick walled spheres and networks, mixed dense and mixed porous, fusinoids and solids. The chars from biomass show a tendency, depending on heating regime, to produce different types of internal pore structure (cellular and porous) and aspect ratio (high and low) compared with coal chars. For this reason a new classification system has been developed to cover these new structures which should assist in combustion, co-firing and gasification research where these intermediate char structures play an important role in conversion efficiency. Low heating rates (using a muffle furnace at 1000 °C and 3 min) were used to create chars from 9 different biomass types, with a range of lignocellulosic compositions. Char type appeared to depend on the biomass type itself and original lignocellulosic composition (cellulose, lignin and hemicellulose content) and cell structure.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | Biomass char; Morphology; Cellular; Porosity; Aspect ratio; Solids; Pyrolysis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Sep 2018 10:05 |
Last Modified: | 11 Sep 2018 10:05 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.fuel.2018.05.153 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135503 |
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