Numerical Simulation of the Burning Characteristics of Thermally-Thick Biomass Fuels in Packed-Beds
Biomass fuels are being increasingly used for domestic heating and power generation to cut down the net CO 2 emission to the atmosphere. In most cases, those fuels are thermally-thick under packed-bed combustion conditions. In this paper, a double-mesh numerical scheme is proposed and implemented to...
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Published in | Process safety and environmental protection Vol. 83; no. 6; pp. 549 - 558 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.11.2005
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Subjects | |
Online Access | Get full text |
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Summary: | Biomass fuels are being increasingly used for domestic heating and power generation to cut down the net CO
2 emission to the atmosphere. In most cases, those fuels are thermally-thick under packed-bed combustion conditions. In this paper, a double-mesh numerical scheme is proposed and implemented to simulate the detailed combustion processes for a biomass fuel with sizes ranging from 5 mm to 50 mm. Bench-top experiments were also carried out to validate the theoretical simulation. Under the specific conditions of investigation, it is found that a bed packed with particles over 35 mm can develop a temperature gradient over 400°C inside the particles at the flame front, and significant overlapping of moisture evaporation, devolatilization and char burn-out is observed in the bed-height direction; CH
4 emission over the bed top is more focused on the central part of the combustion period for larger particles; CO level in the flue gases increases with decreasing particle sizes and the opposite is true for H
2 emission. The overall air to fuel stoichiometric ratio for the whole combustion period increases significantly with increasing particle sizes, from 0.57 (fuel-rich) at 5 mm to 1.2 (fuel-lean) at 35 mm, but for the constant stage during combustion, the range of ratio narrows to 0.32–0.35. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
ISSN: | 0957-5820 1744-3598 |
DOI: | 10.1205/psep.04284 |