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Kinetic modeling and simulation: Pyrolysis of Jatropha residue de-oiled cake

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  • Sharma, Rajeev
  • Sheth, Pratik N.
  • Gujrathi, Ashish M.

Abstract

An improved kinetic model based on thermal decomposition of biomass constituents, i.e. cellulose, hemicellulose and lignin, is developed in the present study. The model considers the independent parallel reactions of order n producing volatiles and charcoal from each biomass constituent. While estimating the kinetic parameters, the order of degradation of biomass constituents is also checked and found to be matching with the order of degradation reported in the literature. The results of thermo-gravimetric analysis of Jatropha de-oiled cakes are used to find the kinetic parameters. The experimental runs are carried out using a thermo-gravimetric analyzer (TGA 4000, Perkin Elmer). TGA study is performed in a nitrogen atmosphere under non-isothermal conditions at different heating rates and the thermal decomposition profiles are used. The model is simulated using finite difference method to predict the pyrolysis rate. The corresponding parameters of the model are estimated by minimizing the square of the error between the model predicted values of residual weight fraction and the experimental data of thermogravimetry. The minimization of square of the error is performed using non-traditional optimization technique logarithmic differential evolution (LDE).

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  • Sharma, Rajeev & Sheth, Pratik N. & Gujrathi, Ashish M., 2016. "Kinetic modeling and simulation: Pyrolysis of Jatropha residue de-oiled cake," Renewable Energy, Elsevier, vol. 86(C), pages 554-562.
    • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:554-562
    DOI: 10.1016/j.renene.2015.08.066
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    References listed on IDEAS

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    1. Singh, R.N. & Vyas, D.K. & Srivastava, N.S.L. & Narra, Madhuri, 2008. "SPRERI experience on holistic approach to utilize all parts of Jatropha curcas fruit for energy," Renewable Energy, Elsevier, vol. 33(8), pages 1868-1873.
    2. Cai, Junmeng & Wu, Weixuan & Liu, Ronghou, 2014. "An overview of distributed activation energy model and its application in the pyrolysis of lignocellulosic biomass," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 236-246.
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