Furniture wood waste as a potential renewable energy source
| Autor: | Michalina Kotyczka-Morańska, Marcin Kopczyński, Agnieszka Plis, Grzegorz Łabojko |
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| Rok vydání: | 2016 |
| Předmět: |
Wood waste
Materials science business.industry 020209 energy 02 engineering and technology Activation energy Condensed Matter Physics Pulp and paper industry Combustion Kinetic energy Torrefaction law.invention Renewable energy Ignition system law Greenhouse gas 0202 electrical engineering electronic engineering information engineering Physical and Theoretical Chemistry Composite material business |
| Zdroj: | Journal of Thermal Analysis and Calorimetry. 125:1357-1371 |
| ISSN: | 1588-2926 1388-6150 |
| Popis: | In this study, the combustion behavior of raw waste wood from furniture and samples torrefied at temperatures of 473, 513, 553 and 593 K was investigated. TG-DTG analysis showed that the mass loss in the first stage of the process decreased with the temperature of torrefaction, whereas the temperature in the second stage increased. The influence of torrefaction and combustion parameters on greenhouse gas emissions were investigated by the FTIR technique. The characteristic combustion parameters were also determined. The ignition temperatures for the furniture wood waste and samples torrefied at 473, 513 and 553 K from 549 to 559 K, whereas that of the sample torrefied at 593 K was significantly higher (600 K). All samples were completely burnt at 813–843 K, after 29–35 min, depending on the torrefaction temperature. Kinetic parameters are determined using a two-step first-order reaction. The activation energy value for the first stage increased with the increasing temperature of torrefaction, from 68 to 125 kJ mol−1, whereas the temperature in the second stage decreased from 108 to 47 kJ mol−1. A similar correlation was observed for the pre-exponential value A. In the case of the torrefied furniture wood waste at 593 K, the combustion process runs as a single first-order reaction. The calculated data were fitted to the experimental data very accurately (R 2 > 0.9992 and standard deviation |
| Databáze: | OpenAIRE |
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