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Kinetic model development and simulation of simultaneous hydrodenitrogenation and hydrodemetallization of crude oil in trickle bed reactor

机译:滴流床反应器中原油同时加氢脱氮和加氢脱金属的动力学模型开发和模拟

摘要

One of the more difficult tasks in the petroleum refining industries that have not been considered largely in the literature is hydrotreating (HDT) of crude oil. The accurate calculations of kinetic models of the relevant reaction scheme are required for obtaining helpful models for HDT reactions, which can be confidently used for reactor design, operating and control. In this work, an optimization technique is employed to evaluate the best kinetic models of a trickle bed reactor (TBR) process utilized for hydrodenitrogenation (HDN) and hydrodemetallization (HDM) that includes hydrodevanadization (HDV) and hydrodenickelation (HDNi) of crude oil based on pilot plant experiments. The minimization of the sum of the squared errors (SSE) between the experimental and estimated concentrations of nitrogen (N), vanadium (V) and nickel (Ni) compounds in the products is used as an objective function in the optimization problem to determine the kinetic parameters.ududA series of experimental work was conducted in a continuous flow isothermal trickle bed reactor, using crude oil as a feedstock and the commercial cobalt¿molybdenum on alumina (Co¿Mo/¿-Al2O3) as a catalyst.ududA three-phase heterogeneous model based on two¿film theory is developed to describe the behaviour of crude oil hydroprocessing in a pilot¿plant trickle bed reactor (TBR) system. The hydroprocessing reactions have been modelled by power law kinetics with respect to nitrogen, vanadium and nickel compounds, and with respect to hydrogen. In this work, the gPROMS (general PROcess Modelling System) package has been used for modelling, simulation and parameter estimation via optimization. The model simulations results were found to agree well with the experiments carried out in a wide range of the studied operating conditions. The model is employed to predict the concentration profiles of hydrogen, nitrogen, vanadium and nickel along the catalyst bed length in three phases.
机译:石油加氢处理(HDT)是原油炼制行业中较困难的任务之一,在文献中并未对其进行广泛考虑。为了获得有用的HDT反应模型,需要对相关反应方案的动力学模型进行精确计算,该模型可以放心地用于反应器的设计,操作和控制。在这项工作中,采用了一种优化技术来评估滴流床反应器(TBR)工艺的最佳动力学模型,该工艺用于基于原油的加氢脱氮(HDV)和加氢脱镍(HDNi)的加氢脱氮(HDN)和加氢脱金属(HDM)进行中试实验。产品中氮(N),钒(V)和镍(Ni)化合物的实验浓度和估计浓度之间的平方误差总和(SSE)最小化被用作优化问题的目标函数,以确定动力学参数。 ud ud在连续流等温滴流床反应器中进行了一系列实验工作,使用原油作为原料,市售钴/钼在氧化铝上的钴(Mo / Al-O2O3)作为催化剂。 ud ud基于双膜理论的三相非均质模型被开发来描述中试滴流床反应器(TBR)系统中原油加氢处理的行为。通过关于氮,钒和镍化合物以及关于氢的幂律动力学对加氢处理反应进行了建模。在这项工作中,已使用gPROMS(通用过程建模系统)包通过优化进行建模,仿真和参数估计。发现模型仿真结果与在各种研究的运行条件下进行的实验非常吻合。该模型用于预测氢,氮,钒和镍沿催化剂床层长度的三个阶段的浓度分布。

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