کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7067950 1459887 2018 31 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An improved predictive model to determine the thermal degradation of lignocellulosic materials at low temperature (Torrefaction) ranges
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
پیش نمایش صفحه اول مقاله
An improved predictive model to determine the thermal degradation of lignocellulosic materials at low temperature (Torrefaction) ranges
چکیده انگلیسی
This study introduces an improved computational procedure to determine the thermal degradation of biomasses when submitted to a torrefaction process. The novelty consists in integrating a summative kinetic model approach with an enhanced finite difference scheme. This is achieved by defining timing updated parameters to account for both the extent of conversion and the evolution of the fibers composition. As main result, the proposed method enhances the exploitation of the summative assumption considering that the predictive accuracy of the model sets within 5% as maximum error. Furthermore, the adopted discrete approach contributes to generalize the TGA set up going beyond the conventional heating programs usually limited to isothermal and constant heating rate constrains. Due to these constitutive improvements, the proposed computational approach looks promising for investigations involving both kinetic analysis and thermal processes design including torrefaction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Bioresource Technology - Volume 256, May 2018, Pages 431-437
نویسندگان
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