Thermo-gravimetric analysis (TGA) was performed on grape seeds, skins, stalks, marc, vine-branches, grape seed oil and grape seeds depleted of their oil. The TGA data was modeled through Gaussian, logistic and Miura-Maki distributed activation energy models (DAEMs) and a simpler two-parameter model. All DAEMs allowed an accurate prediction of the TGA data; however, the Miura-Maki model could not account for the complete range of conversion for some substrates, while the Gaussian and logistic DAEMs suffered from the interrelation between the pre-exponential factor k 0 and the mean activation energy E 0 - an obstacle that can be overcome by fixing the value of k 0 a priori. The results confirmed the capabilities of DAEMs but also highlighted some drawbacks in their application to certain thermodegradation experimental data.

Modeling of the devolatilization kinetics during pyrolysis of grape residues

Fiori, Luca;Valbusa, Michele;Fambri, Luca
2012-01-01

Abstract

Thermo-gravimetric analysis (TGA) was performed on grape seeds, skins, stalks, marc, vine-branches, grape seed oil and grape seeds depleted of their oil. The TGA data was modeled through Gaussian, logistic and Miura-Maki distributed activation energy models (DAEMs) and a simpler two-parameter model. All DAEMs allowed an accurate prediction of the TGA data; however, the Miura-Maki model could not account for the complete range of conversion for some substrates, while the Gaussian and logistic DAEMs suffered from the interrelation between the pre-exponential factor k 0 and the mean activation energy E 0 - an obstacle that can be overcome by fixing the value of k 0 a priori. The results confirmed the capabilities of DAEMs but also highlighted some drawbacks in their application to certain thermodegradation experimental data.
2012
1
Fiori, Luca; Valbusa, Michele; D., Lorenzi; Fambri, Luca
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/89577
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