考虑原油性质波动的炼厂氢气网络集成优化

针对原油性质的不确定性，提出了一种基于质量传递机理的随机规划建模框架，以实现炼厂氢气网络在经济效益和抗扰能力上的同步优化。该框架耦合了常减压蒸馏、加氢精制以及闪蒸分离等过程单元，从微观上解析原油性质波动对网络运行的影响；采用了代理模型技术增设脱硫模块，并利用了二阶段随机规划方法改造管网，从宏观上优化氢气网络以满足生产要求。为验证所提方法的有效性和适用性，对某一现有的炼厂氢网络进行了改造设计研究。结果表明，集成过程单元的多场景优化策略能够有效提升网络的经济性能，并且能使其灵活应对因原油性质波动引起的操作场景的改变。

Integrated optimization of refinery hydrogen networks with crude oil properties fluctuations

A stochastic programming modeling framework based on mass transfer mechanism was proposed, which took the uncertainty of crude oil properties into consideration, to achieve the simultaneous optimization of economic performance and disturbance rejection ability of refinery hydrogen network. The framework integrated process units such as atmospheric and vacuum distillation, hydrofining and flash separation to analyze the impact of crude oil properties fluctuations on network operation microscopically; adopted surrogate-assisted techniques to embed desulfurization unit and used the two-stage stochastic programming approach to retrofit network, so as to optimize hydrogen network macroscopically to meet production requirements. To verify the effectiveness and applicability of the proposed method, studies on the optimization design of an industrial hydrogen system were presented. The results show that the multi-scenario optimization strategy integrated process units can effectively improve the economic performance of hydrogen network. And it can flexibly respond to changes in operating scenarios caused by fluctuations in crude oil properties.