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Application of a particle model to pyrolysis. Comparison of different feedstock: Plastic, tyre, coal and biomass
The thermal behaviour of solid particles of plastic, tyre, coal and biomass as feedstock in pyrolysis processes was studied. The samples were pyrolyzed in a thermogravimetric analyzer in nitrogen atmosphere (surface flow rate 2.65·10−3m/s) at two different heating rates (5 and 10°C/min) with tempera...
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Published in: | Fuel processing technology 2012-11, Vol.103, p.1-8 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The thermal behaviour of solid particles of plastic, tyre, coal and biomass as feedstock in pyrolysis processes was studied. The samples were pyrolyzed in a thermogravimetric analyzer in nitrogen atmosphere (surface flow rate 2.65·10−3m/s) at two different heating rates (5 and 10°C/min) with temperatures ranging from 150 to 950°C. This paper shows the successful application of the distributed energy model to study the effects of dynamic experiments on the solid pyrolysis, in particular, to ABS plastic and tyre rubber for the first time. In addition, the reaction model algorithm used was successfully implemented together with a heat transfer model to predict temperature profiles in the particle and to explore the effects of both solid characteristics and process conditions on the pyrolysis. Within the process conditions studied (particle size, inlet feedstock temperature, reactor temperature and global heat transfer coefficient) the particle size was the most influencing one. From the solid characteristics, the main influence in the particle behaviour was attributed to the characteristic devolatilisation obtained in thermobalance showing the physicochemical properties a weak influence on it.
► A DAEM algorithm was successfully implemented in a particle heat transfer module. ► Devolatilisation of ABS plastic and tyre rubber was first time studied with DAEM. ► Most influencing variables are the particle size and the reactor. ► Intrinsic devolatilisation characteristics strongly affects the conversion time. |
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ISSN: | 0378-3820 1873-7188 |
DOI: | 10.1016/j.fuproc.2011.12.031 |