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目前氢网络的优化研究都视氢源的流率和浓度、氢阱的需求流率和浓度约束为固定的参数。实际上当加氢装置补充氢流股的组分发生变化,会引起其循环氢流股和高分气、低分气以及干气等氢源流股的流率、组成变化,从而影响氢网络的流率分配。本文利用Aspen Hysys中的加氢裂化模块对某加氢裂化装置进行建模,以工业实际数据为基础,验证并调整模型。进而,改变装置入口氢阱流股(补充氢)的浓度,获得装置出口氢源流股(循环氢,低分气)流量和浓度的数据,通过数据拟合得到氢源氢阱的数学关联模型。结果表明,低分气流量随补充氢浓度增加线性减小,低分气浓度、循环气流量和浓度随补充氢浓度线性增加。
At present, hydrogen network optimization studies all depend on the hydrogen source flow rate and concentration, the hydrogen trap demand flow rate and concentration constraints as fixed parameters. In fact, when the composition of the hydrogenation unit to replenish the hydrogen stream changes, the flow rate and the composition of the hydrogen source stream, such as the circulating hydrogen stream and the high-scavenging gas, the low scavenging gas and the dry gas, are caused to change, thereby affecting the flow of the hydrogen network Rate allocation. In this paper, a hydrocracking unit was modeled using a hydrocracking module in Aspen Hysys. Based on industrial real data, the model was validated and adjusted. Furthermore, the concentration of hydrogen trap in the inlet of the device (make-up hydrogen) was changed to obtain the flow rate and concentration data of hydrogen source flow (circulating hydrogen, low gas-out) at the outlet of the device. The mathematical correlation model of the hydrogen source hydrogen trap was obtained by data fitting. The results show that the low partial flow rate decreases linearly with the increase of the additional hydrogen concentration, and the low partial gas concentration, the circulating gas flow rate and the concentration increase linearly with the additional hydrogen concentration.