توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Numerical Study of Dynamic Two–Dimensional Heat and Mass Transfer for Hydrogen Storage in a Metal Hydride Bed
نویسنده(ها): ،
اطلاعات انتشار: پنجمین کنگره بین المللی مهندسی شیمی، سال
تعداد صفحات: ۵
A study of a two–dimensional dynamic complex heat and mass transfer in a metal hydrogen reactor (LaNi5–H2) is presented in this paper. A mathematical model has been established and solved numerically by implicit finite difference method. The numerical simulation is applied to the transition of temperature and density of the metal hydride in the reactor and sensitivity of the model is studied for some operational input conditions such as inlet hydrogen temperature and the temperature of cooling fluid. This simulation also permits us to study the effect of the heat convection and the validity of the assumption of local thermal equilibrium between solid and gas. According to the numerical simulation results, the temperature of cooling fluid and the temperature of interring hydrogen are two important variables in hydrogen storage capacity.<\div>

۲Development of a Discrete Kinetic Model for Modeling of Industrial Hydrocracking Reaction Accompanied With Catalyst Diactivation
اطلاعات انتشار: ششمین کنگره بین المللی مهندسی شیمی، سال
تعداد صفحات: ۸
In order to model the industrial scale hydrocracking process, a five lump discrete model was employed in this research. The experimental data obtained from a pilot–scale fixed bed reactor over Ni–Mo\Silica–Alumina catalyst in a wide range of operating conditions was used for prediction and tuning the kinetic parameters using Genetic algorithm. Model predictions showed good agreement with experimental data with average absolute relative deviation (AARD) of 5.97 %. Afterward, presented kinetic model was used to simulate the vacuum gas oil (VGO) industrial hydrocracking reaction accompanied by catalyst deactivation. The activity of the catalyst was taken as a time dependent variable and the firstyear of operational data were used to derive the deactivation parameter. Industrial data during three and half years used to validate the model. The comparison showed that the presented model provides a reasonable fit to estimate the product yields of LPG, naphtha, kerosene, diesel with AARD of 7.12%.<\div>
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