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- W2591890805 abstract "Hydrocracking is one of the most important refining operations used to crack heavy crude oil components into valuable lighter products. It processes less expensive, difficult to crack heavy feedstock to produce low sulfur and low aromatics content hydrocarbon fuels. In this study, a two-stage industrial hydrocracker is modeled using axial dispersion model to incorporate the mixing effects of feed flow. A 25-lump kinetics is used to simulate and validate the plant data. This validated model is then used for three-objective optimization in which the yields of aviation turbine fuel (ATF) and diesel are maximized simultaneously with minimization of the total amount of hydrogen required in a process cycle using a real-coded elitist non-dominated sorting genetic algorithm (RNSGA-II). The Pareto optimal results obtained show the 26% reduction in total amount of hydrogen required in a process cycle, with nearly same diesel and marginally low ATF production compared to plant data." @default.
- W2591890805 created "2017-03-16" @default.
- W2591890805 creator A5057744481 @default.
- W2591890805 creator A5088547480 @default.
- W2591890805 date "2017-05-01" @default.
- W2591890805 modified "2023-09-26" @default.
- W2591890805 title "Axial dispersion modeling of industrial hydrocracking unit and its multiobjective optimization" @default.
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- W2591890805 doi "https://doi.org/10.1016/j.cherd.2017.02.033" @default.
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