Li, J., Paul, M. C. , Younger, P. L. , Watson, I. , Hossain, M. and Welch, S. (2015) Characterization of biomass combustion at high temperatures based on an upgraded single particle model. Applied Energy, 156, pp. 749-755. (doi: 10.1016/j.apenergy.2015.04.027)
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Abstract
Biomass co-firing is becoming a promising solution to reduce CO2 emissions, due to its renewability and carbon neutrality. Biomass normally has high moisture and volatile contents, complicating its combustion behavior, which is significantly different from that of coal. A computational fluid dynamics (CFD) combustion model of a single biomass particle is employed to study high-temperature rapid biomass combustion. The two-competing-rate model and kinetics/diffusion model are used to model biomass devolatilization reaction and char burnout process, respectively, in which the apparent kinetics used for those two models were from high temperatures and high heating rates tests. The particle size changes during the devolatilization and char burnout are also considered. The mass loss properties and temperature profile during the biomass devolatilization and combustion processes are predicted; and the timescales of particle heating up, drying, devolatilization, and char burnout are compared and discussed. Finally, the results shed light on the effects of particle size on the combustion behavior of biomass particle.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Paul, Professor Manosh and Li, Dr Jun and Watson, Dr Ian and Younger, Professor Paul |
Authors: | Li, J., Paul, M. C., Younger, P. L., Watson, I., Hossain, M., and Welch, S. |
College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
Journal Name: | Applied Energy |
Publisher: | Elsevier |
ISSN: | 0306-2619 |
ISSN (Online): | 1872-9118 |
Copyright Holders: | Copyright © 2015 The Authors |
First Published: | First published in Applied Energy 156:749-755 |
Publisher Policy: | Reproduced under a Creative Commons License |
Data DOI: | 10.5525/gla.researchdata.183 |
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