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).
| Original language | English |
|---|---|
| Article number | 7096 |
| Pages (from-to) | 554-562 |
| Number of pages | 9 |
| Journal | Renewable Energy |
| Volume | 86 |
| DOIs | |
| Publication status | Published - Feb 1 2016 |
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Keywords
- Jatropha de-oiled cake
- Kinetic modeling
- Pyrolysis
- Simulation
- Thermogravimetry
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
Cite this
Kinetic modeling and simulation : Pyrolysis of Jatropha residue de-oiled cake. / Sharma, Rajeev; Sheth, Pratik N.; Gujrathi, Ashish M.
In: Renewable Energy, Vol. 86, 7096, 01.02.2016, p. 554-562.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Kinetic modeling and simulation
T2 - Pyrolysis of Jatropha residue de-oiled cake
AU - Sharma, Rajeev
AU - Sheth, Pratik N.
AU - Gujrathi, Ashish M.
PY - 2016/2/1
Y1 - 2016/2/1
N2 - 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).
AB - 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).
KW - Jatropha de-oiled cake
KW - Kinetic modeling
KW - Pyrolysis
KW - Simulation
KW - Thermogravimetry
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UR - http://www.scopus.com/inward/citedby.url?scp=84940948487&partnerID=8YFLogxK
U2 - 10.1016/j.renene.2015.08.066
DO - 10.1016/j.renene.2015.08.066
M3 - Article
AN - SCOPUS:84940948487
VL - 86
SP - 554
EP - 562
JO - Renewable Energy
JF - Renewable Energy
SN - 0960-1481
M1 - 7096
ER -