The study of fixed bed pyrolysis process on urban pruned woods of trees in oxidative atmosphere

Document Type : Research Paper

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Abstract

The purposes of this article are studying the effects of oxygen presence on waste wood pyrolysis process in order to produce bio-char. To reach the goal, cubic samples of size 2.5 cm pyrolized at 300 and 400 °C. The surface and center temperatures of samples were measured and their mass losses were calculated from the ratio of pyrolized mass to initial mass of the sample. increase in temperature caused increase in the rate of pyrolysis and temperature changes, but decrease the final efficiency of biochar. Moreover, the surface temperature of samples in oxidative pyrolysis compared with the pyrolysis in an environment containing inert gasses, is about 100 °C more, i.e. a reduction in time consumption and consequently in energy use during the oxidative pyrolysis process. According to the non-linear nature of waste wood pyrolysis process, artificial neural network (ANN) was used to model the temperature distribution and the mass loss of samples. The results of ANN were in a good agreement with the experimental consequences and showed the correlation coefficients of 0.9998 and 0.9991 in modeling of temperature distribution and mass loss of samples, respectively.

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References

Basu, P. (2010) Biomass Gasification and Pyrolysis. Elsevier.
Bennadji, H. and M.Fisher, E. (2014). Influence of the Grain Direction on the Low-Temperature Pyrolysis of Large Wood Particles. Chemical Engineering Transactions, 37.
Bidabadi, M and Keshavarzian, M. (2013) Pyrolysis of organic materials in combustion processes. Tehran: University of Science and Technology. (In Farsi)
Bilbao, R., Millera, A. and Murillo, M. B. (1993). Temperature profiles and weight loss in the thermal decomposition of large spherical wood particles. Industrial & Engineering Chemistry Research, 1811-1817
Bridgwater, A. V. (2003). Renewable fuels and chemicals by thermal processing of biomass. Chemical Engineering Journal, 91, 87–102.
Bryden, K. M., Ragland, K. W. and Rutland, C. J. (2002). Modeling thermally thick pyrolysis of wood. Biomass Bioenergy, 22, 41-53.
Conesa, J. A., Caballero, J. A. and Reyes-Labarta, J. A. (2004). Artificial neural network for modelling thermal decompositions. Journal of Analytical and Applied Pyrolysis, 71, 343–352.
Daouk, E., Steene, L., Paviet F and Salvador, S. (2015). Thick wood particle pyrolysis in an oxidative atmosphere. Chemical Engineering Science, 126, 608-615.
Demirbas, A, Arin G (2002). An overview of biomass pyrolysis. Energy Sources, 24(5), 471-482.
Di Blasi, C., Branca, C., Santoro, A. and Hernandez, E. G. (2001). Pyrolytic behavior and products of some wood varieties, Combustion and Flame, 124, 165-177.
Grieco E. and Baldi, G. (2011). Analysis and modeling of wood pyrolysis. Chemical Engineering Science, 66, 650-660.
Mikulandric, R., Loncar, D., Böhning, D., Böhme, R. and Beckmann, M. (2014). Artificial neural network modelling approach for a biomass gasification process in fixed bed gasifiers. Energy Conversion and Management, 87, 1210-1223.
Milhe M., Steene, L., Haube, M., Commandre, J. M., Fassinou, W. F. and Flamant, G. J. (2013). Journal of Analytical and Applied Pyrolysis, 103, 102-111.
Pandey, A., Bhaskar, T., Stocker, M. & Sukumaran, R. (2015) Recent Advances in Thermo-Chemical Conversion of Biomass. Amsterdam: Elsevier.
Park W. C., Atreya, A. and Baum, H. R. (2010). Experimental and theoretical investigation of heat and mass transfer processes during wood pyrolysis. Combustion and Flame, 157, 481-494.
Puig-Arnavat, M., Hernandez, A., Bruno, J. C. and Coronas, A. (2013). Artificial neural network models for biomass gasification in fluidized bed gasifiers. Biomass and bioenergy, 49, 279- 289.
Sharma, A., Pareek, V. and Zhang, D. (2015). Biomass pyrolysis—A review of modelling, process parameters and catalytic studies. Renewable and Sustainable Energy Reviews, 50, 1081-1096.
Su, Y., Luo, Y., Wu, W., Zhang, Y. and Zhao, S. (2012). Characteristics of pine wood oxidative pyrolysis: Degradation behavior, carbon oxide production and heat properties. Journal of Analytical and Applied Pyrolysis, 98, 137-143.
Veksha, A., McLaughlin, H., B. Layzell., D. and M. Hill, J (2014). Pyrolysis of wood to biochar: Increasing yield while maintaining microporosity. Bioresource Technology, 153, 173–179
Zhao, S., Luo, Y., Su, Y., Zhang, Y. and Long, Y. (2014). Experimental Investigation of the Oxidative Pyrolysis Mechanism of Pinewood on Fixed-Bed Reactor. Energy and fules, 28, 5049–5056.
 
 
Iranian Journal of Biosystems Engineering
Volume 47, Issue 3
November 2016
Pages 493-499

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History

  • Receive Date: 08 November 2015
  • Revise Date: 06 May 2016
  • Accept Date: 23 May 2016

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