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Diesel fuel was synthesized from waste cooking oil using a commercial NiMo/Al2O3 catalyst in a batch reactor under different reaction conditions. The influence of reaction conditions, such as pressure, reaction time, and catalyst-to-oil... more
Diesel fuel was synthesized from waste cooking oil using a commercial NiMo/Al2O3 catalyst in a batch reactor under different reaction conditions. The influence of reaction conditions, such as pressure, reaction time, and catalyst-to-oil ratio, were studied during hydrotreating through a response surface methodology and a polynomial model was obtained. The feedstock was characterized to quantify its acid number and density/viscosity. The diesel fuel obtained was characterized to obtain the pour point and density/viscosity. In addition, the yield of diesel fuel was obtained by simulated distillation. The maximum yield of diesel obtained was 91 wt% at the following reaction conditions: 72 bar, 3.6 h, and 3.5 wt%/wt% of catalyst-to-oil ratio.
The modeling of catalytic hydrotreatment reactors for petroleum fractions have been classified in several ways, for example steady‐state and dynamic, pseudohomogeneous, and heterogeneous, and so on. Depending on the system to be modeled,... more
The modeling of catalytic hydrotreatment reactors for petroleum fractions have been classified in several ways, for example steady‐state and dynamic, pseudohomogeneous, and heterogeneous, and so on. Depending on the system to be modeled, operating conditions and type of feedstock, these approaches could exhibit some advantages and disadvantages, wide scopes and limitations. In this review, the discussion about those modeling aspects,
The modeling of catalytic hydrotreatment reactors for petroleum fractions have been classified in several ways, for example steady‐state and dynamic, pseudohomogeneous, and heterogeneous, and so on. Depending on the system to be modeled,... more
The modeling of catalytic hydrotreatment reactors for petroleum fractions have been classified in several ways, for example steady‐state and dynamic, pseudohomogeneous, and heterogeneous, and so on. Depending on the system to be modeled, operating conditions and type of feedstock, these approaches could exhibit some advantages and disadvantages, wide scopes and limitations. In this review, the discussion about those modeling aspects,
Vapor− liquid equilibrium (VLE) in trickle-bed hydroprocessing reactors can significantly change the fluid hydrodynamics and the distribution of reacting species in both the vapor and liquid phases and, ultimately, change the reactor... more
Vapor− liquid equilibrium (VLE) in trickle-bed hydroprocessing reactors can significantly change the fluid hydrodynamics and the distribution of reacting species in both the vapor and liquid phases and, ultimately, change the reactor performance. VLE is especially ...
During hydroprocessing (hydrotreating and hydrocracking), petroleum distillates and hydrogen pass through trickle-bed catalytic reactors at high temperatures and pressures with relatively large hydrogen flow. These conditions result in... more
During hydroprocessing (hydrotreating and hydrocracking), petroleum distillates and hydrogen pass through trickle-bed catalytic reactors at high temperatures and pressures with relatively large hydrogen flow. These conditions result in partial vaporization of oil ...
The modeling of catalytic hydrotreatment reactors for petroleum fractions have been classified in several ways, for example steady‐state and dynamic, pseudohomogeneous, and heterogeneous, and so on. Depending on the system to be modeled,... more
The modeling of catalytic hydrotreatment reactors for petroleum fractions have been classified in several ways, for example steady‐state and dynamic, pseudohomogeneous, and heterogeneous, and so on. Depending on the system to be modeled, operating conditions and type of feedstock, these approaches could exhibit some advantages and disadvantages, wide scopes and limitations. In this review, the discussion about those modeling aspects,
Vapor− liquid equilibrium (VLE) in trickle-bed hydroprocessing reactors can significantly change the fluid hydrodynamics and the distribution of reacting species in both the vapor and liquid phases and, ultimately, change the reactor... more
Vapor− liquid equilibrium (VLE) in trickle-bed hydroprocessing reactors can significantly change the fluid hydrodynamics and the distribution of reacting species in both the vapor and liquid phases and, ultimately, change the reactor performance. VLE is especially ...
This paper describes a dynamic heterogeneous one-dimensional model of trickle-bed reactors used for catalytic hydrotreating of oil fractions. The model considers the main reactions in the hydrotreating process of oil fractions:... more
This paper describes a dynamic heterogeneous one-dimensional model of trickle-bed reactors used for catalytic hydrotreating of oil fractions. The model considers the main reactions in the hydrotreating process of oil fractions: hydrodesulfurization, ...
Trickle-bed reactors are frequently used in bench scale and pilot plant experiments to determine reaction kinetics and generate data for commercial scale-up. Depending on experimental conditions, these reactors sometimes cannot produce... more
Trickle-bed reactors are frequently used in bench scale and pilot plant experiments to determine reaction kinetics and generate data for commercial scale-up. Depending on experimental conditions, these reactors sometimes cannot produce accurate data if the influences of three main factors (plug flow deviation, external wetting efficiency, and reactor wall effect) on reactor performance are not properly minimized or eliminated. Therefore, it is highly desirable to operate a trickle-bed reactor at conditions at which these effects can be neglected so that reliable and repeatable data can be obtained. There have been various criteria reported in the literature to theoretically determine the influence of these factors. The objectives of this work are to conduct an extensive review on the studies related to these criteria and to further make recommendations as how to use these criteria to provide guidelines for designing experiments.Trickle-bed reactors are frequently used in bench scale and pilot plant experiments to determine reaction kinetics and generate data for commercial scale-up. Depending on experimental conditions, these reactors sometimes cannot produce reliable and repeatable data if the influences of three main factors (plug flow deviation, external wetting efficiency, and reactor wall effect) on reactor performance are not properly minimized or eliminated. Therefore, it is highly desirable to operate a trickle-bed reactor at conditions at which these effects can be neglected so that reliable and repeatable data can be obtained. There have been various criteria reported in the literature to theoretically determine the influence of these factors. The objectives of this work are to conduct an extensive review on the studies related to these criteria and to further make recommendations as how to use these criteria to provide guidelines for designing experiments.